CN119893545A - Signal enhancement and stable transmission method of wireless image transmission recorder facing complex environment - Google Patents
Signal enhancement and stable transmission method of wireless image transmission recorder facing complex environment Download PDFInfo
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- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
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- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/068—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission using space frequency diversity
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
- H04L1/0002—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate
- H04L1/0003—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate by switching between different modulation schemes
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Abstract
The invention discloses a signal enhancement and stable transmission method of a wireless image transmission recorder facing to a complex environment, which relates to the technical field of digital information transmission and comprises the following steps: environmental adaptability analysis and transmission demand assessment, multipath propagation modeling and interference analysis, dynamic adjustment of spectrum allocation and scheduling, channel coding and modulation optimization, cooperative transmission and network topology optimization, space-time coding and beamforming technology application, and low-delay protocol design. According to the signal enhancement and stable transmission method of the wireless image transmission recorder facing the complex environment, the multipath propagation modeling, the cooperative transmission model and the network topology optimization model are introduced, so that the signal enhancement and stable transmission performance of the wireless image transmission recorder in the complex environment is effectively improved. Accurate path loss prediction, reflection and refraction path energy optimization and multipath interference dynamic management are realized. Meanwhile, through the cooperation of the transmission efficiency and the global optimization of the network topology structure, the optimal allocation of resources and the dynamic adjustment of transmission paths are realized.
Description
Technical Field
The invention relates to the technical field of digital information transmission, in particular to a signal enhancement and stable transmission method of a wireless image transmission recorder facing to a complex environment.
Background
With the rapid development of wireless communication technology, wireless image transmission recorders are widely applied in complex environments such as remote monitoring and unmanned aerial vehicle data acquisition. However, signal transmission in complex environments is often disturbed by a number of factors, such as path loss, reflection refraction, multipath interference, etc., which place higher demands on the stability of the transmission and signal quality. The prior art relies on simple beam forming and spectrum allocation methods, and does not fully consider multi-factor coupling effect in complex environment, resulting in the following disadvantages:
the signal attenuation problem is that the existing method cannot dynamically adjust loss in path loss calculation, and multiple signal attenuation characteristics in a complex environment are difficult to accurately reflect.
Reflection and refraction interference, namely lack of global optimization modeling of reflection and refraction paths, cannot effectively reduce the influence of reflection and refraction energy loss and direction offset on signal quality.
The traditional multipath interference processing method cannot comprehensively consider complex factors such as time delay, interference intensity and the like, so that the signal demodulation precision of a receiving end is reduced.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a signal enhancement and stable transmission method of a wireless image transmission recorder facing to a complex environment, which aims to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
In a first aspect, an embodiment of the present invention provides a signal enhancement and stable transmission method for a wireless image transmission recorder facing a complex environment, including the following steps:
s1, carrying out environmental adaptability analysis and transmission demand assessment of a complex environment, and formulating transmission demands;
S2, carrying out multipath propagation modeling based on transmission requirements, and carrying out path analysis and interference analysis of signal propagation in the environment;
s3, dynamically adjusting spectrum allocation and scheduling according to the results of multipath propagation modeling and interference analysis, and optimizing signal transmission effects;
s4, channel coding and modulation optimization are carried out based on spectrum allocation and scheduling;
s5, carrying out cooperative transmission and network topology optimization based on a scheme of channel coding and modulation optimization;
S6, space-time coding and beam forming technology are applied to further improve the space reliability of signal transmission;
s7, designing a low-delay protocol to complete signal enhancement and stable transmission.
Further optimizing the technical scheme, in the step S1:
The environmental adaptability analysis comprises the identification of environmental factors such as obstacle density, topography change, weather conditions and signal interference sources;
the transmission requirement assessment comprises attenuation degree of the signal, signal frequency requirement, bandwidth requirement and optimal signal transmission path;
the established transmission requirements include a minimum threshold for signal quality, a desired transmission rate, and fault tolerance of the signal.
Further optimizing the technical scheme, in the step S2, the multi-path propagation modeling includes establishing a signal attenuation model, a reflection and refraction model and a multi-path interference model, which are used for predicting signal propagation behaviors under different environmental conditions.
Further optimize this technical scheme, in the modeling of multipath propagation:
the signal attenuation model is shown below:
;
Wherein,
Receiving signal power;
transmitting signal power;
The environmental attenuation coefficient depends on the signal frequency and the propagation medium;
The distance between the transmitter and the receiver;
Path loss index, ranging from 2 to 4;
Dynamic interference factors, which consider the influence of dynamic signal sources in the environment;
the relative angle, describe the angle between the receiving antenna and the main interference source;
The reflection and refraction models are as follows:
;
Wherein,
First of allSignal intensity after secondary reflection or refraction;
Incident signal intensity;
reflection retention coefficient, which represents the proportion of the signal that remains after each reflection;
a reflection attenuation factor describing the signal attenuation rate in multiple reflections;
The number of times of reflection is counted, ;
Refractive transmission coefficient, describe the proportion of energy that the signal penetrates the medium;
An angle of incidence, an included angle between the incident angle and a normal line of the reflecting surface;
The refraction path damping coefficient represents the attenuation effect of medium on signal propagation;
refractive path propagation distance;
the multipath interference model is as follows:
;
Wherein,
The total power of the received signal;
First of all The intensity of the strip reflected path signal;
First of all Signal frequency of the strip path;
time is taken;
First of all Signal phase of the strip path;
First of all The intensity of the strip refraction path signal;
First of all Signal attenuation factors of the strip refraction paths;
First of all Refractive propagation distance of the strip path;
The total number of reflection paths;
total number of refractive paths.
Further optimizing the technical scheme, in the step S3, in the step of dynamically adjusting spectrum allocation and scheduling, a dynamic spectrum management technology is adopted, and the frequency band use of the signal is adjusted according to the real-time signal quality and interference condition.
In step S4, the channel coding and modulation optimization includes selecting different channel coding schemes according to real-time channel quality and transmission requirements, wherein the channel coding schemes include convolutional coding, turbo coding, and LDPC coding, and selecting different modulation schemes including QPSK, 16QAM, and 64QAM.
Further optimizing the technical scheme, in the step S5, cooperative transmission and network topology optimization are performed by adopting a cooperative transmission model and a network topology optimization model;
The cooperative transmission model comprehensively considers the influence of node bandwidth allocation weight, error rate, link delay and interference coefficient on transmission efficiency;
The network topology optimization model optimizes the topology structure of the whole network by dynamically adjusting the link selection among the nodes.
Further optimizing the technical scheme, the cooperative transmission model is as follows:
;
Wherein,
Cooperative transmission efficiency;
First of all Bandwidth allocation weights of the individual nodes;
First of all The transmission rate of the individual nodes;
First of all Bit error rate of individual nodes;
the total number of nodes participating in cooperative transmission;
First of all Transmission delay of the link;
First of all The interference coefficient of the link represents the interference degree of the link;
The total number of transmission links;
the network topology optimization model is as follows:
;
Wherein,
Unitized network transmission cost;
Node of the design To the nodeIs a link length of (a);
Node of the design To the nodeIs a link transmission power of (a);
Link Is a reliability loss rate of the (c) in the (c),;
The total number of nodes in the network.
Further optimizing the technical scheme, in the step S6:
space-time coding, which is to code signals sent by a plurality of antennas and to improve the robustness of the signals by using space dimension;
Beamforming, which is to form a directional signal beam by adjusting the transmitting directions and powers of a plurality of antennas, is used for reducing the interference suffered by the signal in the propagation process.
Further optimizing the technical scheme, in the step S7, the low-delay transmission protocol adopts a first-come first-serve FCFS queue policy, and based on priority scheduling, it is ensured that important data is transmitted preferentially.
In a second aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, where the computer program instructions implement steps of a signal enhancement and stable transmission method of a wireless image transmission recorder for a complex environment according to the first aspect of the present invention when executed by the processor.
In a third aspect, an embodiment of the present invention provides a computer readable storage medium, on which a computer program is stored, where the computer program instructions implement steps of a signal enhancement and stable transmission method of a wireless image transmission recorder for a complex environment according to the first aspect of the present invention when executed by a processor.
Compared with the prior art, the invention provides a signal enhancement and stable transmission method of a wireless image transmission recorder facing to a complex environment, which has the following beneficial effects:
According to the signal enhancement and stable transmission method of the wireless image transmission recorder facing the complex environment, by introducing a multipath propagation modeling, a cooperative transmission model and a network topology optimization model and utilizing an artificial intelligence machine learning and deep learning technology, the signal enhancement and stable transmission performance of the wireless image transmission recorder in the complex environment is effectively improved. Compared with the prior art, the method can realize accurate path loss prediction, reflection and refraction path energy optimization and multipath interference dynamic management, and obviously reduce transmission error rate. Meanwhile, through the global optimization of the cooperative transmission efficiency and the network topology structure, the optimal allocation of resources and the dynamic adjustment of transmission paths are realized, so that the overall transmission efficiency and stability are improved, and the requirement of high-quality signal transmission in a complex environment is met.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a signal enhancement and stable transmission method of a wireless image transmission recorder for a complex environment;
Fig. 2 is a model composition diagram of multipath propagation modeling of a signal enhancement and stable transmission method of a wireless image transmission recorder facing to a complex environment.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Embodiment one:
Referring to fig. 1-2, in a first embodiment of the present invention, the embodiment provides a signal enhancement and stable transmission method of a wireless image transmission recorder facing a complex environment, which includes the following steps:
s1, performing environment adaptability analysis and transmission demand assessment of a complex environment, and formulating transmission demands.
In this embodiment, in the signal enhancement and stable transmission method of the wireless image transmission recorder, the first step is to perform environmental adaptability analysis. This analysis involves first the identification of complex environmental factors such as obstacle density, terrain variations, weather conditions, sources of signal interference, etc. By collecting these environmental data, the possible impact of the wireless signal is evaluated and the specific demands of the system on the signal transmission are clarified. The evaluation content includes, but is not limited to, the attenuation degree of the signal, the signal frequency requirement, the bandwidth requirement, the optimal signal transmission path, and the like. Based on the evaluation results, reasonable transmission requirements, such as a minimum threshold of signal quality, a required transmission rate, fault tolerance of signals and the like, are established, and a foundation is laid for subsequent enhancement and stable transmission scheme design.
S2, carrying out multipath propagation modeling based on transmission requirements, and carrying out path analysis and interference analysis of signal propagation in the environment.
In this embodiment, in the transmission of a wireless signal facing a complex environment, the signal may be affected by multipath propagation effect during the propagation process, especially in environments such as cities or mountainous areas, where the signal reaches the receiving end through different paths, and problems such as attenuation, distortion, interference may occur. And carrying out multipath propagation modeling, wherein the multipath propagation modeling comprises the steps of establishing a signal attenuation model, a reflection and refraction model and a multipath interference model, and predicting signal propagation behaviors under different environmental conditions. Meanwhile, surrounding interference sources, such as signals of other wireless devices, noise sources, electromagnetic wave interference and the like, are analyzed, and these factors affect the quality of wireless signals. And the signal propagation model and the interference source analysis are integrated, a theoretical basis is provided for a subsequent signal enhancement method, and the design of an effective interference suppression and signal stable transmission strategy is facilitated.
In the multipath propagation modeling:
the signal attenuation model is shown below:
;
Wherein,
The received signal power (W);
transmit signal power (W);
The environmental attenuation coefficient depends on the signal frequency and the propagation medium;
distance (m) between transmitter and receiver;
Path loss index, ranging from 2 to 4;
Dynamic interference factors, which consider the influence of dynamic signal sources in the environment;
The relative angle describes the angle between the receiving antenna and the primary source of interference.
By introducing dynamic interference factorsAnd angle dependent termsTo describe the effect of interfering signals on received power in a complex environment. Dynamic interference factorAnd in the calculation process, the power duty ratio of the interference signal in the received signal is quantized to obtain the influence degree of the interference signal in the total received signal, namely the interference duty ratio, the obtained interference duty ratio is subjected to smoothing, and a time weighted average value is calculated by combining historical data to obtain a dynamic interference factor. In step S2, a calculation is performed in combination with an environmental adaptation analysis、AndEqual parameters, e.g. by measuring different distancesAnd (3) the signal strength is changed, and the environmental attenuation coefficient is estimated by combining the signal frequency and the characteristics of the propagation medium. Multiple points can be selected for signal power measurement, and attenuation law is utilizedFitting the data to obtain. And performing field test according to different environment types (such as city, open area, forest and the like), and measuring the relation between the path loss and the distance. Obtaining the path loss index by fitting the actually measured signal attenuation curve. The power level of the receiving end signal is estimated by the model, and basic data is provided for the subsequent steps (such as channel coding).
The reflection and refraction models are as follows:
;
Wherein,
First of allSignal intensity (W) after sub-reflection or refraction;
Incident signal intensity (W);
reflection retention coefficient, which represents the proportion of the signal that remains after each reflection;
a reflection attenuation factor describing the signal attenuation rate in multiple reflections;
The number of times of reflection is counted, ;
Refractive transmission coefficient, describe the proportion of energy that the signal penetrates the medium;
an angle of incidence (radian) between the incident angle and the normal line of the reflecting surface;
The refraction path damping coefficient represents the attenuation effect of medium on signal propagation;
Refractive path propagation distance (m).
This model is used to describe the signal reflection and refraction process, using、Describing the characteristics of the reflection,、Etc. describe refractive properties. By means of the input parameters, it is possible to calculate respectively、、、And analyzing the comprehensive influence of multiple reflections and refraction in the complex environment on the signal intensity.
Reflection holding coefficientDetermined by the material property, surface roughness and incident signal frequency of the reflecting surface, and the refractive transmission coefficientThe energy ratio of the signal after passing through the medium can be determined by experimental measurement, and the reflection attenuation factorFitting the optimal coefficient of the exponential decay model by measuring a plurality of known reflection and refraction path signals in the environment, wherein the refraction path damping coefficientCalculating propagation loss of signal in different medium by combining path loss index to deduce。
The multipath interference model is as follows:
;
Wherein,
The total power (W) of the received signal;
First of all Intensity (W) of the strip reflected path signal;
First of all Signal frequency (rad/s) of the strip path;
Time(s);
First of all Signal phase (rad) of the strip path;
First of all Intensity (W) of the strip refractive path signal;
First of all Signal attenuation factors of the strip refraction paths;
First of all Refractive propagation distance (m) of the strip path;
The total number of reflection paths;
total number of refractive paths.
By modeling and parameter estimation of signal propagation paths, power contributions of the paths are calculated and total power of the received signals is obtained comprehensively, and data support is provided for dynamic spectrum allocation (step S3) and cooperative transmission (step S5). For example, in dynamic spectrum allocation, the total power of the received signals calculated by the multipath interference model can provide the spectrum allocation strategy with the influence data of different signal sources in the environment on the spectrum use, thereby being beneficial to making accurate spectrum resource scheduling in the dynamic environment and ensuring the high efficiency and stability of signal transmission. Cooperative transmission relies on cooperation and resource sharing among different nodes, the efficiency of the cooperation is influenced by signal quality and interference, and the total power of a received signal obtained through an updated multipath interference model provides interference intensity data (such as signal intensity of a reflection path and a refraction path) of each path, and the data can help to analyze interference conditions among the nodes, so that a cooperative transmission strategy is adjusted, and bandwidth allocation and transmission path selection of each node are optimized. Finally, the cooperative transmission efficiency can be improved, and the negative influence of multipath interference can be reduced.
The three models together construct mathematical descriptions of signal propagation in complex environments for evaluating signal strength, reflection-refraction loss, and multipath interference, respectively. The output parameters (e.g., received signal power) of each model can be used as input for the next optimization (e.g., dynamic spectrum allocation and scheduling).
And S3, dynamically adjusting spectrum allocation and scheduling according to the results of multipath propagation modeling and interference analysis, and optimizing the signal transmission effect.
In this embodiment, a dynamic signal spectrum allocation and priority scheduling scheme is designed according to the analysis result. In complex environments, signal spectrum resources are limited and frequently subject to interference, so there is a need to reasonably allocate available spectrum to maximize signal quality and bandwidth efficiency. In the process, a dynamic spectrum management technology is adopted, and the frequency band use of the signal is adjusted according to the real-time signal quality and interference condition. For example, when the signal quality of a certain frequency band is poor, the frequency band with less interference can be automatically switched to. Meanwhile, a priority scheduling strategy is adopted to prioritize different data streams, so that priority transmission of important signals (such as high-quality video streams) is ensured, and delay and packet loss are reduced. The strategy intelligently adjusts the transmission frequency and the priority by monitoring the signal condition in real time so as to ensure the stable and efficient transmission of the signals.
And S4, performing channel coding and modulation optimization based on spectrum allocation and scheduling.
In this embodiment, an adaptive channel coding and modulation scheme is designed based on a dynamic spectrum allocation and priority scheduling scheme. In complex environments, the transmission quality of a signal may be affected by various factors, resulting in an increase in bit error rate. In order to improve the reliability and efficiency of transmission, adaptive channel coding and modulation techniques are critical. Depending on the channel quality (e.g., signal-to-noise ratio) and transmission requirements in real time, the system may select different channel coding schemes (e.g., convolutional coding, turbo coding, LDPC coding, etc.) and modulation schemes (e.g., QPSK, 16QAM, 64QAM, etc.). The self-adaptive mechanism can dynamically adjust the coding and modulation modes according to the change of the channel so as to ensure that the optimal signal quality and transmission rate can be provided under different environmental conditions.
The selection of channel coding and modulation schemes is dynamically adjusted based on real-time channel quality (e.g., signal-to-noise ratio) and spectral allocation results. Specifically, after the spectrum resource allocation is completed, the system evaluates the current channel condition and selects a suitable channel coding and modulation scheme. Such as:
Channel coding selection, in which the system may prefer a higher strength channel coding (e.g., LDPC coding or Turbo coding) to enhance interference rejection when the channel quality is poor (e.g., low signal-to-noise ratio), and may choose a more efficient but less interference resistant coding (e.g., convolutional coding) when the channel quality is good (e.g., high signal-to-noise ratio).
And the modulation scheme is selected, namely the system dynamically selects the modulation mode according to the allocation condition of the frequency spectrum resources and the real-time quality of the channels. For example, at low signal-to-noise ratios, low order modulation (e.g., QPSK) is used to increase the error rate resistance, while at better channel quality, higher order modulation (e.g., 16QAM, 64 QAM) is selected to increase the data transmission rate.
S5, carrying out cooperative transmission and network topology optimization based on a scheme of channel coding and modulation optimization.
And a cooperative transmission and network topology optimization scheme is designed for further improving the transmission stability of the wireless image transmission signals. In complex environments, the transmission capability of a single node may be insufficient to cover a larger area or to penetrate more obstacles.
In this embodiment, cooperative transmission and network topology optimization are performed by adopting a cooperative transmission model and a network topology optimization model;
The cooperative transmission model comprehensively considers the influence of node bandwidth allocation weight, error rate, link delay and interference coefficient on transmission efficiency;
The network topology optimization model optimizes the topology structure of the whole network by dynamically adjusting the link selection among the nodes.
The cooperative transmission model is as follows:
;
Wherein,
Cooperative transmission efficiency;
First of all Bandwidth allocation weights (Hz) for individual nodes;
First of all Transmission rate (bps) of individual nodes;
First of all Bit error rate of individual nodes;
the total number of nodes participating in cooperative transmission;
First of all Transmission delay(s) of the link;
First of all The interference coefficient of the link represents the interference degree of the link;
The total number of transmission links.
The cooperative transmission model comprehensively considers the influence of node bandwidth allocation weight, error rate, link delay and interference coefficient on transmission efficiency from the global view of the system. Allocating weights by dynamically adjusting bandwidthOptimizing link interference coefficientsAnd efficient cooperative transmission is realized.
Bandwidth allocation weightsThe node with better channel quality can be allocated with higher bandwidth according to the channel quality (such as signal-to-noise ratio or signal-to-noise ratio gain) of each node, so as to improve the data transmission rate. The bandwidth of the low signal-to-noise ratio node is reduced, and excessive consumption of system resources is avoided.
Optimizing link interference coefficientsDepending on the activity of other nodes in the current network environment, especially the interference situation of neighboring nodes. If the interference of a certain link is large, interference coefficientWill increase, meaning that the effective transmission capacity of the link will decrease. In this case, the system adjusts the transmission path, avoids the high interference area or reduces the bandwidth allocation of the interference link.
In step S5, a calculation is performedAndAfter parameters are equal, the model is used for quantifying the transmission efficiency, and decision support is provided for beamforming and dynamic spectrum allocation strategies.
Efficiency in collaborative transport modelGuiding link selection and power optimization, and restricting the optimization process of network transmission cost.
The network topology optimization model is as follows:
;
Wherein,
Unitized network transmission cost;
Node of the design To the nodeLink length (m);
Node of the design To the nodeLink transmission power (W);
Link Is a reliability loss rate of the (c) in the (c),;
The total number of nodes in the network.
The model is minimized byThe network topology is optimized to achieve optimal transmission performance. Link lengthTransmission powerReliability loss rateIs a key parameter in determining the cost of transmission. The optimization process dynamically adjusts the transmission path and the power distribution, avoids the selection of overlong links and high-loss-rate paths, and improves the overall transmission efficiency and stability. In step S5, the model combines the results of the cooperative transmission modelAnd carrying out link optimization configuration, and providing decision basis for signal transmission in a complex environment.
Output of network topology optimization modelProviding a basis for dynamic spectrum allocation and signal routing planning.
S6, space-time coding and beam forming technology are applied to further improve the space reliability of signal transmission.
In this embodiment, multipath propagation and signal interference seriously affect the quality of the wireless signal in a complex environment. To address this challenge, space-time coding and beamforming techniques are introduced to improve the spatial transmission performance of the signal. Space-time coding is a multi-antenna technique that can improve the robustness of signals by using spatial dimensions by coding the signals transmitted by multiple antennas. By reasonably designing space-time coding, the attenuation and interference of signals can be reduced in a complex environment, and accurate transmission of data is ensured. The beam forming technology forms a directional signal beam by adjusting the transmitting directions and powers of a plurality of antennas, thereby reducing the interference suffered by the signal in the propagation process. The two are combined for use, so that the space reliability of signals can be obviously improved, and the loss and attenuation of the signals can be effectively reduced in a multipath environment.
S7, designing a low-delay protocol to complete signal enhancement and stable transmission.
In this embodiment, with the improvement of the real-time requirement of the wireless image transmission recorder system, a low-delay transmission protocol is designed. In order to achieve efficient and stable signal transmission in complex environments, the system needs to have a low-delay response capability. This requires that operations such as receiving, encoding, scheduling and forwarding of signals can be rapidly handled during data transmission, minimizing the transmission delay of signals. The design of low-latency transport protocols includes optimized queue management policies, fast data transmission path selection mechanisms, and efficient signal processing algorithms. For example, using a First Come First Served (FCFS) queue policy in combination with priority scheduling can ensure priority transmission of important data. Meanwhile, the protocol also needs to effectively manage network congestion, and data loss or quality degradation caused by too high delay is avoided.
Embodiment two:
The embodiment also provides computer equipment which is suitable for the situation of the signal enhancement and stable transmission method of the wireless image transmission recorder facing the complex environment, and comprises a memory and a processor, wherein the memory is used for storing computer executable instructions, and the processor is used for executing the computer executable instructions, so that the signal enhancement and stable transmission method of the wireless image transmission recorder facing the complex environment, which is provided by the embodiment, is realized.
The present embodiment also provides a storage medium, on which a computer program is stored, which when executed by a processor, implements a signal enhancement and stable transmission method of a wireless image transmission recorder for a complex environment as proposed in the above embodiment.
The computer device may be a terminal comprising a processor, a memory, a communication interface, a display screen and input means connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method of the embodiments of the present invention. The storage medium includes a U disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium include an electrical connection (an electronic device) having one or more wires, a portable computer diskette (a magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium may even be paper or other suitable medium upon which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of techniques known in the art, discrete logic circuits with logic gates for implementing logic functions on data signals, application specific integrated circuits with appropriate combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (10)
1. The signal enhancement and stable transmission method of the wireless image transmission recorder facing the complex environment is characterized by comprising the following steps of:
s1, carrying out environmental adaptability analysis and transmission demand assessment of a complex environment, and formulating transmission demands;
S2, carrying out multipath propagation modeling based on transmission requirements, and carrying out path analysis and interference analysis of signal propagation in the environment;
s3, dynamically adjusting spectrum allocation and scheduling according to the results of multipath propagation modeling and interference analysis, and optimizing signal transmission effects;
s4, channel coding and modulation optimization are carried out based on spectrum allocation and scheduling;
s5, carrying out cooperative transmission and network topology optimization based on a scheme of channel coding and modulation optimization;
S6, space-time coding and beam forming technology are applied to further improve the space reliability of signal transmission;
s7, designing a low-delay protocol to complete signal enhancement and stable transmission.
2. The method for enhancing and stabilizing signal transmission of wireless image transmission recorder for complex environment according to claim 1, wherein in step S1:
The environmental adaptability analysis comprises the identification of environmental factors such as obstacle density, topography change, weather conditions and signal interference sources;
the transmission requirement assessment comprises attenuation degree of the signal, signal frequency requirement, bandwidth requirement and optimal signal transmission path;
the established transmission requirements include a minimum threshold for signal quality, a desired transmission rate, and fault tolerance of the signal.
3. The method for enhancing and stabilizing signal transmission of wireless image transmission recorder for complex environment according to claim 1, wherein in step S2, the multi-path propagation modeling includes establishing a signal attenuation model, a reflection and refraction model and a multi-path interference model for predicting signal propagation behaviors under different environmental conditions.
4. The method for enhancing and stabilizing signal transmission of wireless image transmission recorder facing to complex environment according to claim 3, wherein in the multipath propagation modeling:
the signal attenuation model is shown below:
;
Wherein,
Receiving signal power;
transmitting signal power;
The environmental attenuation coefficient depends on the signal frequency and the propagation medium;
The distance between the transmitter and the receiver;
Path loss index, ranging from 2 to 4;
Dynamic interference factors, which consider the influence of dynamic signal sources in the environment;
the relative angle, describe the angle between the receiving antenna and the main interference source;
The reflection and refraction models are as follows:
;
Wherein,
First of allSignal intensity after secondary reflection or refraction;
Incident signal intensity;
reflection retention coefficient, which represents the proportion of the signal that remains after each reflection;
a reflection attenuation factor describing the signal attenuation rate in multiple reflections;
The number of times of reflection is counted, ;
Refractive transmission coefficient, describe the proportion of energy that the signal penetrates the medium;
An angle of incidence, an included angle between the incident angle and a normal line of the reflecting surface;
The refraction path damping coefficient represents the attenuation effect of medium on signal propagation;
refractive path propagation distance;
the multipath interference model is as follows:
;
Wherein,
The total power of the received signal;
First of all The intensity of the strip reflected path signal;
First of all Signal frequency of the strip path;
time is taken;
First of all Signal phase of the strip path;
First of all The intensity of the strip refraction path signal;
First of all Signal attenuation factors of the strip refraction paths;
First of all Refractive propagation distance of the strip path;
The total number of reflection paths;
total number of refractive paths.
5. The method for enhancing and stabilizing signal transmission of wireless image transmission recorder facing to complex environment according to claim 1, wherein in step S3, dynamic spectrum management technology is adopted in dynamic adjustment spectrum allocation and scheduling, and frequency band use of signals is adjusted according to real-time signal quality and interference conditions.
6. The method for enhancing and stabilizing signal transmission of wireless image transmission recorder facing to complex environment according to claim 1, wherein in step S4, channel coding and modulation optimization comprises selecting different channel coding schemes according to real-time channel quality and transmission requirement, wherein the channel coding schemes comprise convolutional coding, turbo coding and LDPC coding, and selecting different modulation schemes, wherein the modulation schemes comprise QPSK, 16QAM and 64QAM.
7. The method for enhancing and stabilizing signal transmission of wireless image transmission recorder facing to complex environment according to claim 1, wherein in step S5, cooperative transmission and network topology optimization are performed by adopting a cooperative transmission model and a network topology optimization model;
The cooperative transmission model comprehensively considers the influence of node bandwidth allocation weight, error rate, link delay and interference coefficient on transmission efficiency;
The network topology optimization model optimizes the topology structure of the whole network by dynamically adjusting the link selection among the nodes.
8. The method for enhancing and stabilizing signal transmission of wireless image transmission recorder facing to complex environment according to claim 7, wherein the cooperative transmission model is as follows:
;
Wherein,
Cooperative transmission efficiency;
First of all Bandwidth allocation weights of the individual nodes;
First of all The transmission rate of the individual nodes;
First of all Bit error rate of individual nodes;
the total number of nodes participating in cooperative transmission;
First of all Transmission delay of the link;
First of all The interference coefficient of the link represents the interference degree of the link;
The total number of transmission links;
the network topology optimization model is as follows:
;
Wherein,
Unitized network transmission cost;
Node of the design To the nodeIs a link length of (a);
Node of the design To the nodeIs a link transmission power of (a);
Link Is a reliability loss rate of the (c) in the (c),;
The total number of nodes in the network.
9. The method for enhancing and stabilizing signal transmission of wireless image transmission recorder for complex environment according to claim 1, wherein in step S6:
space-time coding, which is to code signals sent by a plurality of antennas and to improve the robustness of the signals by using space dimension;
Beamforming, which is to form a directional signal beam by adjusting the transmitting directions and powers of a plurality of antennas, is used for reducing the interference suffered by the signal in the propagation process.
10. The method for enhancing and stabilizing signal transmission of wireless image transmission recorder facing to complex environment according to claim 1, wherein in step S7, a low-delay transmission protocol adopts a first-come first-serve FCFS queue policy, and based on priority scheduling, priority transmission of important data is guaranteed.
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