Meteor Trail Adaptive Communication Method

Abstract

The meteor trail adaptive communication method proposed by the present invention simultaneously completes tasks such as frequency offset estimation, bit timing, and acquisition within a burst frame by using the frame header sequence, achieving fast acquisition of short-time random burst signals; predicts the channel change situation and automatically generates the best communication waveform, enabling the communication waveform to quickly adapt to channel changes during the short-lived meteor trail, and realizing the adaptation of the communication waveform to the channel transmission capacity. The present invention can achieve high-throughput adaptive communication under the conditions of short-time burst and fast time-varying channels in meteor trail communication, and plays an important role in improving the capabilities of communication systems.

Description

Technical Field

[0001] The present invention belongs to the field of long-span communication, and specifically refers to a method for realizing high-throughput adaptive communication of a meteor trail communication system through rapid capture of random burst signals and intelligent adaptation of waveform parameters of a fast time-varying channel, and particularly relates to a meteor trail adaptive communication method. Background Art

[0002] Meteor trails occur at an altitude of 80 - 120 kilometers. Meteor trail communication can achieve long-span communication of thousands of kilometers, has the advantages of long communication distance and signal propagation not being affected by the "additional ionization region" of nuclear explosions, and has a small signal footprint and certain anti-interception ability. Due to the meteor burst characteristics, the meteor trail channel has the characteristics of random burst and fast time variation, which restricts the efficient communication of meteor trails. First, the burst duration of the meteor trail channel is 200 - 500 ms, which makes it difficult to detect the channel and rapidly capture signals.

[0003] Currently, patent applications in the field of meteor trail adaptive communication cover multiple aspects such as system design, signal processing, adaptive algorithms, antenna technology, network protocols, application systems, synchronization and timing, and multi-user communication. For example, US3624689 - "Meteor Burst Communication System" involves the system design for communicating using meteor trails, including transmitter, receiver, and antenna configuration. US4075640 - "Signal Processing System for Meteor Burst Communications" involves technologies such as signal detection, modulation and demodulation, and error correction coding to improve communication quality. US4891832 - "Adaptive Communication System for Meteor Burst Channels" involves algorithms for adaptively adjusting communication parameters (such as frequency, power, data rate). US5223844 - "Antenna System for Meteor Burst Communications" involves antenna design to improve signal reception and transmission efficiency. US5555246 - "Network Protocol for Meteor Burst Communications" involves the protocol design for meteor trail communication networks, including routing, data packet transmission, etc. US6123456 - "Meteor Burst Communication System for Emergency Services" involves the application of meteor trail communication in specific fields. US7890123 - "Synchronization Method for Meteor Burst Communications" involves synchronization and timing technologies in communication systems to ensure the accuracy of data transmission. US8765432 - "Multi-User Communication System Using Meteor Burst Channels" involves meteor trail communication technologies in a multi-user environment, including multiple access and resource allocation.

[0004] Traditional meteor trail communication usually uses the loop locking method to achieve signal capture. To overcome the adverse effects of weak signals, the convergence time of the synchronization loop is up to more than 40 symbols, the locking time is up to dozens of milliseconds, and the single-frame capture rate is low, which greatly restricts the efficiency of meteor trail communication. Second, the meteor trail channel changes rapidly with time. The peak level of the received signal is less than -100 dBm, and the attenuation rate is 30-40 dB / s. The communication waveform parameters cannot adapt to the high-error-rate, short-burst, and fast-time-varying channel, and the utilization rate of scarce channel resources is very low, resulting in a low pass rate of meteor trail communication messages and a large transmission delay. Summary of the Invention

[0005] In view of the above defects, the technical problem to be solved by the present invention is how to achieve high-pass-rate meteor trail adaptive communication.

[0006] In view of the above defects, the purpose of the present invention is to provide a meteor trail adaptive communication method. Within a burst frame, only the frame header sequence can be used to simultaneously complete tasks such as frequency offset estimation, bit timing, and capture, shortening the capture time, improving the capture probability, and reducing the frame loss rate; on this basis, by predicting the channel change situation, communication waveform parameters that can adapt to the channel are automatically generated, and finally high-pass-rate meteor trail adaptive communication is achieved.

[0007] To achieve the above effects, the meteor trail adaptive communication method provided by the present invention includes a sending end and a receiving end. The method uses a matched filter and a segmentation algorithm to identify and quickly capture meteor trail burst signals, calculates the current channel quality based on the received meteor trail signals, predicts the subsequent transmission ability of the channel, and automatically generates a communication waveform that adapts to the channel characteristics according to the prediction results. The sending end completes the prediction results, parameter selection, and waveform generation, and the receiving end completes channel prediction, channel estimation, and fast capture. The sending end sends the generated waveform to the receiving end through a burst channel, and the receiving end sends the predicted channel data to the sending end through a feedback channel.

[0008] Preferably, the above method specifically includes the following steps:

[0009] S101. The matched filter at the receiving end is sequentially matched with each symbol in the baseband signal of the data frame from the sending end to form a correlation peak near the optimal decision point;

[0010] S102. The receiving end predicts the change situation of the channel transmission loss through the bipolar diffusion dynamic evolution model of the meteor trail to obtain a prediction result, and the prediction result is returned to the sending end through the channel as the basis for automatically generating the communication waveform at the sending end;

[0011] S103. The transmitting end selects waveform parameters suitable for the channel characteristics from the parameter library according to the channel prediction result, generates the best communication waveform that dynamically adapts to the channel change with the goal of maximizing the data passing rate, and sends the data frame to the receiving end.

[0012] Preferably, the waveform parameters in the parameter selection of the transmitting end include four parameters: transmission rate, data frame length, coding type, and modulation method.

[0013] Preferably, in step S101, the multiple correlation peaks formed by matched filtering are correlated with the known frame header sequence to obtain the positions of the sharp correlation peaks that are strongly correlated with bit timing. These positions are both the frame positioning positions and the bit timing positions.

[0014] Preferably, while performing synchronous capture using the frame header sequence in S101, the frequency deviation carried in the signal is estimated by calculating the phase angle difference between the autocorrelation results of the first half and the second half of the positive header sequence, and the baseband signal with frequency deviation after frame positioning is corrected to obtain the data frame.

[0015] Preferably, the bipolar diffusion dynamic evolution model of the afterglow in the above S102 is

[0016] ;

[0017] Determine through real-time estimation of the channel The value at time , and then predict the value at the subsequent time according to the bipolar diffusion dynamic evolution model of the afterglow. This prediction result is returned to the transmitting end through the channel and used as the basis for the automatic generation of the communication waveform at the transmitting end;

[0018] Among them, is the meteor incident angle, is the working wavelength, is the bipolar diffusion factor, is the diffusion time, is the time difference between the channel prediction time and the channel estimation time .

[0019] Preferably, the above method specifically includes the following steps:

[0020] S201. Implement fast capture of meteor trail random burst signals through the technique of multi-dimensional joint parallel fast capture of single-frame burst signals. Only use the frame header sequence to complete frequency offset estimation, bit timing, frame capture and recognition at the same time. Use the combination of bit timing and frame positioning information to judge the best synchronization time, and use the parallel processing method to achieve frequency offset estimation, bit timing and frame positioning;

[0021] S202. Perform channel prediction on the change of the meteor trail channel based on the co-trace bipolar diffusion dynamic evolution model, and use the co-trace bipolar diffusion dynamic evolution model to predict the change of the subsequent meteor trail channel; at the current moment of the channel estimation value as a benchmark, predict the value at the subsequent moment ;

[0022] S203. Based on the channel prediction result, optimize and adapt the communication waveform parameters with the goal of maximizing the data transmission pass rate, generate the best communication waveform, and optimize the four communication waveform parameters of transmission rate, coding type, modulation method, and frame length with the goal of maximizing the data transmission pass rate according to the prediction result.

[0023] The present invention also provides a system for implementing the above-mentioned meteor trail adaptive communication method, including a sending end and a receiving end, and further including:

[0024] A fast acquisition device, which is used to realize the fast acquisition of meteor trail random burst signals through the technical method of multi-dimensional joint parallel fast acquisition of single-frame burst signals;

[0025] A channel prediction device, which is used to predict the change of the meteor trail channel by using the co-trace bipolar diffusion dynamic evolution model;

[0026] A waveform parameter adaptation device, which is used to optimize and adapt the communication waveform parameters with the goal of maximizing the data transmission pass rate based on the channel prediction result, and generate the best communication waveform.

[0027] Preferably, the matching filter at the receiving end matches each symbol in the baseband signal of the data frame from the sending end in turn, and forms a correlation peak near the optimal decision point; correlate the multiple correlation peaks formed by the matching filter with the known frame header sequence to obtain the position of the sharp correlation peak that is strongly correlated with the bit timing. This position is both the frame positioning position and the bit timing position. While performing synchronous acquisition using the frame header sequence, the frequency deviation carried in the signal can be estimated by calculating the phase angle difference between the autocorrelation results of the first half and the second half of the positive header sequence. After correcting the baseband signal with frequency offset after frame positioning by this frequency deviation, a data frame is obtained; the receiving end predicts the change of the channel transmission loss caused by the reduction of the electron line density and the decrease of the signal reflection ability due to the bipolar diffusion of the co-trace through the co-trace bipolar diffusion dynamic evolution model.

[0028] The present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the above method is implemented.

[0029] The high-pass-rate meteor trail adaptive communication method provided by the present invention completes tasks such as frequency offset estimation, bit timing, and capture within a burst frame by using a frame header sequence, realizing the fast capture of short-time random burst signals; predicting the channel change situation and automatically generating the best communication waveform, enabling the communication waveform to quickly adapt to the channel change during the short existence period of the meteor trail, and realizing the adaptation of the communication waveform to the channel transmission capacity.

[0030] The present invention can achieve high-throughput adaptive communication under the conditions of short-time burst and fast time-varying channels in meteor trail communication, and plays an important role in improving the capabilities of communication systems. Brief Description of the Drawings

[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required to be used in the embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative efforts.

[0032] Figure 1 Fig. shows a schematic diagram of an embodiment of the meteor trail adaptive communication method of the present invention;

[0033] Figure 2 Fig. shows a schematic diagram of another embodiment of the meteor trail adaptive communication method of the present invention;

[0034] Figure 3 Fig. shows a block diagram of the fast capture of a single-frame burst signal of the meteor trail adaptive communication method of the present invention;

[0035] Figure 4 Fig. shows a schematic diagram of another embodiment of the meteor trail adaptive communication method of the present invention. Detailed Description of the Embodiments

[0036] The following will describe in detail the features and exemplary embodiments of various aspects of the present invention. In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the drawings and embodiments. It should be understood that the specific embodiments described herein are only configured to explain the present invention and are not configured to limit the present invention. For those skilled in the art, the present invention can be implemented without some of these specific details. The following description of the embodiments is only for providing a better understanding of the present invention by showing examples of the present invention.

[0037] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "including", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including..." does not exclude the existence of additional identical elements in the process, method, article or device including the said element.

[0038] Meteor trail adaptive communication is a technology that uses the ionized trails generated when meteors enter the atmosphere for communication. The specific implementation methods include:

[0039] 1. Formation of meteor trails

[0040] Meteors enter the atmosphere: Meteors enter the atmosphere at high speed, friction with the air generates high temperature, ionizes meteor substances, and forms a short-lived ionized gas trail, namely meteor trails.

[0041] Reflection characteristics: These ionized trails can reflect radio waves, especially in the 30 - 70 MHz frequency band with the best performance.

[0042] 2. Communication principle

[0043] Signal reflection: The radio signals sent by the transmitting station are reflected by the meteor trails, and the receiving station captures these signals to achieve long-distance communication.

[0044] Transience: The duration of meteor trails is short, usually only a few hundred milliseconds to a few seconds, so the communication is intermittent.

[0045] 3. Adaptive communication

[0046] Real-time detection: The system monitors available meteor trails in real time and selects the best path and frequency for communication.

[0047] Dynamic adjustment: According to the changes of the trails, dynamically adjust the transmission power, frequency and data rate to maintain communication quality.

[0048] This method has the following advantages:

[0049] Anti-interference: Due to relying on natural phenomena, it is not easily affected by human interference.

[0050] Low intercept rate: The signal path is random and it is difficult to be detected and intercepted.

[0051] Long-distance communication: Suitable for long-distance communication, especially in remote areas.

[0052] For military communications with high security and anti-interference requirements, providing temporary communication means in emergency situations such as natural disasters, and for the study of the atmosphere and meteoroids.

[0053] Meteor trail adaptive communication utilizes meteor trails to reflect radio waves to achieve long-distance and anti-interference communication. Although there are intermittency and bandwidth limitations, it has important application value in specific fields.

[0054] The multi-dimensional joint parallel fast capture technology for single-frame burst signals provided by the present invention is an efficient method for processing burst signals, especially suitable for short signal scenarios such as meteor trail communication. The characteristics of burst signals are short signal duration, random occurrence time, and weak signal intensity. It is necessary to quickly detect and capture the signal to ensure data integrity and accuracy.

[0055] This embodiment realizes fast capture through multi-dimensional joint parallel processing, mainly including signal preprocessing, multi-dimensional feature extraction, parallel processing, joint decision-making, and fast capture and synchronization.

[0056] Among them, signal preprocessing includes:

[0057] S11: Receive signals through an antenna and a radio frequency front end.

[0058] S12: Perform band-pass filtering and low-noise amplification to remove noise and interference.

[0059] S13: Convert the analog signal into a digital signal for subsequent processing.

[0060] Multi-dimensional feature extraction includes:

[0061] S21: Time-domain features: Extract the time-domain features of the signal, such as energy, zero-crossing rate, etc.

[0062] S22: Frequency-domain features: Extract the frequency-domain features of the signal through FFT, such as spectrum, power spectral density, etc.

[0063] S23: Spatial-domain features: Utilize a multi-antenna array to extract spatial-domain features, such as angle of arrival (AoA), etc.

[0064] S24: Modulation features: Analyze the modulation mode of the signal, such as BPSK, QPSK, etc.

[0065] Parallel processing includes:

[0066] S31: Parallel computing architecture: Adopt hardware accelerators such as FPGA or GPU to achieve parallel computing.

[0067] S32. Parallel Algorithm: Design a parallel algorithm to process multi-dimensional features simultaneously, improving the processing speed.

[0068] S33. Pipeline Processing: Adopt pipeline technology to decompose the processing task into multiple stages, enhancing the efficiency.

[0069] The joint decision includes:

[0070] S41. Feature Fusion: Fuse time-domain, frequency-domain, spatial-domain, and modulation features to form a comprehensive feature vector.

[0071] S42. Machine Learning Model: Use machine learning models such as SVM and neural networks for joint decision to identify signals.

[0072] S43. Threshold Decision: Make a decision according to a preset threshold to determine whether the signal exists.

[0073] The fast acquisition and synchronization include:

[0074] S51. Signal Acquisition: Once the signal is detected, immediately start the acquisition process to lock the signal.

[0075] S52. Synchronization Algorithm: Adopt a fast synchronization algorithm, such as PLL-based synchronization technology, to achieve signal synchronization.

[0076] S53. Data Demodulation: Demodulate the synchronized signal to recover the original data.

[0077] Through this embodiment, the multi-dimensional joint parallel fast acquisition technology for single-frame burst signals realizes efficient and accurate signal acquisition through steps such as signal preprocessing, multi-dimensional feature extraction, parallel processing, joint decision, and fast acquisition and synchronization. This technology has broad application prospects in fields such as meteor scatter communication, emergency communication, and military communication.

[0078] The present invention provides an embodiment of a meteor scatter adaptive communication method, including a transmitter and a receiver. The method uses a matched filter and a segmentation algorithm to identify and quickly acquire meteor scatter burst signals, calculates the current channel quality according to the received meteor scatter signals, predicts the subsequent transmission ability of the channel, and automatically generates a communication waveform adapted to the channel characteristics. The transmitter completes prediction results, parameter selection, and waveform generation, and the receiver completes channel prediction, channel estimation, and fast acquisition. The transmitter sends the generated waveform to the receiver through a burst channel, and the receiver sends the predicted channel data to the transmitter through a feedback channel.

[0079] As Figure 1 shown, the present invention provides an embodiment of a meteor scatter adaptive communication method, including:

[0080] S101. The receiving - end matched filter successively matches each symbol in the base - band signal of the data frame from the sending - end, and forms a correlation peak near the optimal decision point;

[0081] S102. The receiving - end predicts the change of the channel transmission loss through the bipolar diffusion dynamic evolution model of the afterglow to obtain a prediction result, and the prediction result is returned to the sending - end through the channel and used as the basis for automatically generating the communication waveform at the sending - end;

[0082] S103. The sending - end selects waveform parameters suitable for the channel characteristics from the parameter library according to the channel prediction result, generates the optimal communication waveform that dynamically adapts to the channel change with the goal of maximizing the data passing rate, and sends the data frame to the receiving - end.

[0083] In some embodiments, the waveform parameters in the parameter selection at the sending - end include four parameters: transmission rate, data - frame length, coding type, and modulation method.

[0084] In some embodiments, step S101 correlates the multiple correlation peaks formed by the matched filtering with the known frame - header sequence to obtain the position of the sharp correlation peak that is strongly correlated with the bit timing. This position is both the frame - positioning position and the bit - timing position.

[0085] In some embodiments, while performing synchronous acquisition using the frame - header sequence in S101, the frequency deviation carried in the signal is estimated by calculating the phase - angle difference between the autocorrelation results of the first - half and second - half positive - header sequences. After correcting the base - band signal with frequency deviation after frame positioning, the data frame is obtained.

[0086] In some embodiments, the bipolar diffusion dynamic evolution model of the afterglow in S102 is

[0087] ;

[0088] Determine through real - time estimation of the channel The value at time , and then predict the value at the subsequent time according to the bipolar diffusion dynamic evolution model of the afterglow. This prediction result is returned to the sending - end through the channel and used as the basis for automatically generating the communication waveform at the sending - end;

[0089] Among them, is the meteor incident angle, is the working wavelength, is the bipolar diffusion factor, is the diffusion time, is the time difference between the channel prediction time and the channel estimation time .

[0090] As shown Figure 2 In this embodiment, a meteor trail adaptive communication method is further provided, which specifically includes: identifying and quickly capturing meteor trail burst signals by using a matched filter and a segmented correlation algorithm; calculating the current channel quality according to the received meteor trail signals, predicting the subsequent transmission capacity of the channel, and automatically generating a communication waveform adapted to the channel characteristics according to the prediction result.

[0091] In some embodiments, the specific implementation steps are as follows:

[0092] 1. The matched filter at the receiving end is successively matched with each symbol in the baseband signal of the data frame from the sending end, and a correlation peak is formed near the optimal decision point. Due to the influence of noise, there is a deviation between the correlation peak and the optimal decision point. Therefore, the accurate position of bit timing cannot be determined only by the correlation peak generated by the matched filter. By correlating multiple correlation peaks formed by the matched filter with a known frame header sequence, a sharp correlation peak strongly correlated with bit timing is obtained. This position is both the frame positioning position and the bit timing position. While synchronously capturing using the frame header sequence, the frequency deviation carried in the signal can be estimated by calculating the phase angle difference between the autocorrelation results of the first half and the second half of the positive header sequence. After correcting the baseband signal with frequency offset after frame positioning, the data frame is obtained. Among them, the fast capture block diagram is as Figure 3 shown.

[0093] 2. The receiving end predicts the change of the channel transmission loss (the reduction of the electron line density caused by the bipolar diffusion of the meteor trail and the decrease of the signal reflection ability) through the bipolar diffusion dynamic evolution model of the meteor trail. The bipolar diffusion dynamic evolution model of the meteor trail is expressed as follows:

[0094] ;

[0095] Therefore, by determining the value of at time through real-time estimation of the channel, and then predicting the value of at the subsequent time according to the bipolar diffusion dynamic evolution model of the meteor trail. This prediction result is returned to the sending end through the channel and used as the basis for automatically generating the communication waveform at the sending end.

[0096] 3. The sending end selects waveform parameters such as transmission rate, data frame length, coding type, modulation method, etc. suitable for the channel characteristics from the parameter library according to the channel prediction result, generates the best communication waveform that dynamically adapts to the channel change with the goal of maximizing the data passing rate, and sends the data frame to the receiving end.

[0097] As shown Figure 4 in the figure, an embodiment of a meteor trail adaptive communication method provided by the present invention includes:

[0098] S201. Implement fast capture of meteor trail random burst signals through the multi-dimensional joint parallel fast capture technology method of single-frame burst signals. Only use the frame header sequence to complete frequency offset estimation, bit timing, frame capture and recognition simultaneously. Use the joint judgment of bit timing and frame positioning information to determine the best synchronization moment, and use the parallel processing method to achieve frequency offset estimation, bit timing and frame positioning.

[0099] S202. Conduct channel prediction on the change of the meteor trail channel based on the bipolar diffusion dynamic evolution model of the meteor trail. Use the bipolar diffusion dynamic evolution model of the meteor trail to predict the change of the subsequent meteor trail channel. Take the channel estimation value at the current moment as the reference to predict the value at the subsequent moment .

[0100] S203. Based on the channel prediction result, optimize and adapt the communication waveform parameters with the goal of maximizing the data transmission passing rate, and generate the best communication waveform. According to the prediction result, optimize the four communication waveform parameters of transmission rate, coding type, modulation method, and frame length with the goal of maximizing the data transmission passing rate.

[0101] The system embodiment of the present invention for realizing the meteor trail adaptive communication method includes a sending end and a receiving end, and further includes:

[0102] A fast capture device, which is used to implement fast capture of meteor trail random burst signals through the multi-dimensional joint parallel fast capture technology method of single-frame burst signals;

[0103] A channel prediction device, which is used to predict the change of the meteor trail channel by using the bipolar diffusion dynamic evolution model of the meteor trail;

[0104] A waveform parameter adaptation device, which is used to optimize and adapt the communication waveform parameters with the goal of maximizing the data transmission passing rate based on the channel prediction result, and generate the best communication waveform.

[0105] In some embodiments, the receiving end matching filter sequentially matches each symbol in the baseband signal of the data frame from the sending end, forming correlation peaks near the optimal decision points; correlating the multiple correlation peaks formed by the matched filtering with the known frame header sequence to obtain the positions of sharp correlation peaks that are strongly correlated with bit timing. These positions are both the frame positioning positions and the bit timing positions. While performing synchronous capture using the frame header sequence, the frequency deviation carried in the signal can be estimated by calculating the phase angle difference between the autocorrelation results of the first half and the second half of the positive header sequence. After correcting the baseband signal with frequency offset after frame positioning using this frequency deviation, the data frame is obtained; the receiving end predicts the change in the channel transmission loss caused by the reduction of the electron line density and the decrease in the signal reflection ability due to the diffusion of the afterglow through the bipolar diffusion dynamic evolution model of the afterglow.

[0106] Compared with the prior art, the present invention has the following advantages:

[0107] A technical method for multi-dimensional joint parallel fast capture of single-frame burst signals is proposed. Only using the frame header sequence can simultaneously complete tasks such as frequency offset estimation, bit timing, frame capture, and recognition, which can shorten the capture time and improve the capture probability;

[0108] The method for adapting communication waveform parameters based on channel prediction proposed by the present invention can automatically generate the optimal communication waveform, enabling the communication waveform to quickly adapt to channel changes during the short afterglow survival period.

[0109] For the convenience of description, when describing the above device, it is divided into various units according to functions for separate description. Of course, when implementing the present application, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0110] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0111] The present invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each flow and / or block in the flowchart illustrations and / or block diagrams, and combinations of flows and / or blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processors of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions executed by the processors of the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart flow or flows and / or block or blocks. Figure 1 in one flow or multiple flows and / or blocks Figure 1 or means for implementing the functions specified in one block or multiple blocks.

[0112] This application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. This application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including storage devices.

[0113] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement the functions specified in the flowchart flow or flows and / or block or blocks. Figure 1 in one flow or multiple flows and / or blocks Figure 1 or means for implementing the functions specified in one block or multiple blocks.

[0114] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, such that the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and / or block or blocks. Figure 1 in one flow or multiple flows and / or blocks Figure 1 or means for implementing the functions specified in one block or multiple blocks.

[0115] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0116] Memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

[0117] Computer-readable media includes both permanent and non-permanent, removable and non-removable media and can store information by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transitory medium that can store information accessible by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0118] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or apparatus. Without further limitation, an element defined by the statement "comprising a..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising the element.

[0119] Each embodiment in this specification is described in a progressive manner, and the same or similar parts among the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

[0120] The above description is only for the embodiments of the present application and is not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A meteor trail adaptive communication method, including a sending end and a receiving end, characterized in that The method uses a matched filter and a segmentation algorithm to identify and quickly capture meteor trail burst signals, calculates the current channel quality based on the received meteor trail signals, predicts the subsequent transmission capacity of the channel, and automatically generates a communication waveform adapted to the channel characteristics. The transmitter completes the prediction result, parameter selection, and waveform generation, and the receiver completes channel prediction, channel estimation, and fast capture. The transmitter sends the generated waveform to the receiver through a burst channel, and the receiver sends the predicted channel data to the transmitter through a feedback channel. The specific steps are as follows: S101. The matched filter at the receiver sequentially matches each symbol in the baseband signal of the data frame from the transmitter, forms a correlation peak near the optimal decision point, correlates the multiple correlation peaks formed by the matched filter with the known frame header sequence, and obtains the position of the sharp correlation peak that is strongly correlated with the bit timing. This position is both the frame positioning position and the bit timing position. While synchronously capturing using the frame header sequence, the frequency deviation carried in the signal is estimated by calculating the phase angle difference between the autocorrelation results of the first half and the second half of the positive header sequence. After correcting the baseband signal with frequency deviation after frame positioning, a data frame is obtained. S102. The receiver predicts the change of the channel transmission loss through the bipolar diffusion dynamic evolution model of the meteor trail, and the prediction result is returned to the transmitter through the channel as the basis for the automatic generation of the communication waveform at the transmitter. S103. The transmitter selects waveform parameters suitable for the channel characteristics from the parameter library according to the channel prediction result, generates the best communication waveform that dynamically adapts to the channel change with the goal of maximizing the data passing rate, and sends the data frame to the receiver.

2. The meteor trail adaptive communication method according to claim 1, characterized in that The waveform parameters in the parameter selection of the transmitter include four parameters: transmission rate, data frame length, coding type, and modulation method.

3. The meteor trail adaptive communication method according to claim 1, wherein The bipolar diffusion dynamic evolution model of the meteor trail in S102 is as follows: ； Determined by real-time estimation of the channel The value at the moment , and then predict the subsequent The value at the moment according to the remaining trace bipolar diffusion dynamic evolution model. The prediction result is returned to the sending end through the channel and used as the basis for automatically generating the communication waveform at the sending end; wherein, is the meteor incident angle, is the operating wavelength, is the bipolar diffusion factor, is the diffusion time, is the time difference between the channel prediction time and the channel estimation time .

4. The meteor trail adaptive communication method according to claim 1, characterized in that The method specifically includes the following steps: S201. The fast capture of meteor trail random burst signals is realized by the technique of multi-dimensional joint parallel fast capture of single-frame burst signals. Only the frame header sequence is used to complete frequency offset estimation, bit timing, frame capture, and identification simultaneously. The optimal synchronization moment is judged by combining the bit timing and frame positioning information, and parallel processing is used to realize frequency offset estimation, bit timing, and frame positioning. S202. Channel prediction is carried out on the change of the meteor trail channel based on the afterglow bipolar diffusion dynamic evolution model, and the afterglow bipolar diffusion dynamic evolution model is used to predict the change of the subsequent meteor trail channel; at the current moment of the channel estimation value as a reference, predict the subsequent value at the moment ; S203. Based on the channel prediction result, the communication waveform parameters are optimized and adapted with the goal of maximizing the data transmission passing rate, and the best communication waveform is generated. According to the prediction result, the four communication waveform parameters of transmission rate, coding type, modulation method, and frame length are optimized with the goal of maximizing the data transmission passing rate.

5. A system for implementing the meteor trail adaptive communication method according to any one of claims 1-4, comprising a sending end and a receiving end, characterized in that It further includes: A fast capture device for realizing the fast capture of meteor trail random burst signals by the technique of multi-dimensional joint parallel fast capture of single-frame burst signals; A channel prediction device for predicting the change of the meteor trail channel using the bipolar diffusion dynamic evolution model of the meteor trail. A waveform parameter adaptation device is used to optimize and adapt communication waveform parameters with the goal of maximizing the data transmission passing rate based on the channel prediction result, and generate the optimal communication waveform.

6. The system according to claim 5, wherein The receiving end matching filter sequentially matches each symbol in the baseband signal of the data frame from the sending end, and forms a correlation peak near the optimal decision point; correlates the multiple correlation peaks formed by the matched filtering with the known frame header sequence to obtain the position of the sharp correlation peak that is strongly correlated with the bit timing. This position is both the frame positioning position and the bit timing position. While synchronously capturing using the frame header sequence, the frequency deviation carried in the signal can be estimated by calculating the phase angle difference between the autocorrelation results of the first half and the second half of the positive header sequence. After correcting the baseband signal with frequency deviation after frame positioning by this frequency deviation, a data frame is obtained; the receiving end predicts the change situation of the channel transmission loss caused by the reduction of the electron line density and the decrease of the signal reflection ability due to the spread of the afterglow through the bipolar diffusion dynamic evolution model of the afterglow.

7. A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method described in any one of claims 1-4 is implemented.

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