Meteoric trail adaptive communication method

Abstract

According to the meteoric trail adaptive communication method provided by the invention, tasks such as frequency offset estimation, bit timing and capture are simultaneously completed in one burst frame by using a frame header sequence, and rapid capture of short-time random burst signals is realized; and the channel change condition is predicted, and the optimal communication waveform is automatically generated, so that the communication waveform quickly adapts to the channel change in a short trail duration, and the adaptation of the communication waveform and the channel transmission capability is realized. According to the method, high-passability self-adaptive communication can be realized under short-time burst and rapid time-varying channels of meteoric trail communication, and the method plays an important role in improving the capability of a communication system.

Description

Technical Field

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

[0002] Meteor trails occur at an altitude of 80 to 120 kilometers. Meteor trail communications can achieve large-span communications over thousands of kilometers. It has the advantages of long communication distance and signal propagation is not affected by the "additional ionization zone" of nuclear explosions. It also has a small signal footprint and a certain anti-interception capability. Due to the burst characteristics of meteors, the meteor trail channel has the characteristics of random bursts and rapid time variations, which restricts the efficient communication of meteor trails. First, the burst duration of the meteor trail channel is 200 to 500ms, which makes channel detection and rapid signal capture difficult.

[0003] At present, patent applications in the field of meteor trail adaptive communication cover many 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 design of a system for communication using meteor trails, including transmitters, receivers, and antenna configurations. 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, and data rate). US5223844 - "Antenna System for MeteorBurst Communications" involves antenna design to improve signal reception and transmission efficiency. US5555246-"Network Protocol for Meteor Burst Communications" involves the protocol design of meteor burst communication networks, including routing, data packet transmission, etc. US6123456- "Meteor Burst Communication System for Emergency Services" involves the application of meteor burst communications in specific fields. US7890123-"Synchronization Method for Meteor Burst Communications" involves synchronization and timing technology in communication systems to ensure the accuracy of data transmission. US8765432-"Multi-User Communication System Using Meteor Burst Channels" involves meteor burst communication technology in a multi-user environment, including multiple access and resource allocation.

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

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

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

[0007] In order to achieve the above-mentioned effect, the meteor trail adaptive communication method provided by the present invention includes a transmitting end and a receiving end. The method uses matched filtering 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, and predicts the subsequent transmission capacity of the channel, and automatically generates a communication waveform adapted to the channel characteristics based on the prediction results. The transmitting end completes the prediction results, parameter selection and waveform generation, and the receiving end completes channel prediction, channel estimation and rapid capture. The transmitting end sends the generated waveform to the receiving end through a burst channel, and the receiving end sends the predicted channel data to the transmitting end through a feedback channel.

[0008] Preferably, the above method specifically comprises the following steps: S101, the receiving end matched filter sequentially matches each symbol in the baseband signal of the data frame from the transmitting end, and forms a correlation peak near the optimal decision point; S102, the receiving end predicts the change of channel transmission loss through the bipolar diffusion dynamic evolution model of the residual trace to obtain a prediction result, and the prediction result is returned to the sending end through the channel as a basis for automatic generation of the communication waveform of the sending end; S103, the transmitting end selects waveform parameters suitable for channel characteristics in the parameter library according to the channel prediction result, generates an optimal communication waveform that dynamically adapts to channel changes with the goal of maximizing data throughput, and sends the data frame to the receiving end.

[0009] Preferably, the waveform parameters in the parameter selection of the above-mentioned transmitting end include four parameters: transmission rate, data frame length, coding type and modulation mode.

[0010] Preferably, the above step S101 correlates the multiple correlation peaks formed by 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, which is both the position of the frame positioning and the position of the bit timing.

[0011] Preferably, the above S101 estimates the frequency deviation carried in the signal by calculating the phase difference between the autocorrelation results of the positive header sequence in the first half and the second half while using the frame header sequence for synchronous capture. The baseband signal with frequency deviation after frame positioning is corrected by the frequency deviation to obtain a data frame.

[0012] Preferably, the bipolar diffusion dynamic evolution model of the residue in S102 is: ; Determined by real-time estimation of the channel The value of the moment , and then predict the subsequent The value of the moment , the prediction result is returned to the transmitter through the channel as the basis for automatic generation of the communication waveform at the transmitter; in, is the meteor incidence angle, is the working wavelength, is the bipolar diffusion factor, is the diffusion time, is the channel prediction time and channel estimation time time difference.

[0013] Preferably, the above method specifically comprises the following steps: S201, realizing rapid capture of meteor trail random burst signals by multi-dimensional joint parallel rapid capture of single-frame burst signals, completing frequency offset estimation, bit timing, frame capture and identification simultaneously using only frame header sequence, using bit timing and frame positioning information to jointly determine the best synchronization moment, and using parallel processing methods to realize frequency offset estimation, bit timing and frame positioning; S202, based on the dynamic evolution model of the bipolar diffusion of the meteor trail, the channel change of the meteor trail is predicted, and the subsequent channel change of the meteor trail is predicted by the bipolar diffusion of the meteor trail; The channel estimate As a benchmark, predict the subsequent The value of the moment ; S203. Based on the channel prediction results, the communication waveform parameters are optimized and adapted with the goal of maximizing the data transmission pass rate to generate the best communication waveform. According to the prediction results, the four communication waveform parameters of transmission rate, coding type, modulation mode and frame length are optimized with the goal of maximizing the data transmission pass rate.

[0014] The present invention also provides a system for implementing the above-mentioned meteor trail adaptive communication method, comprising a transmitting end and a receiving end, and further comprising: A fast capture device, used to realize the fast capture of meteor trail random burst signals through the technical method of multi-dimensional joint parallel fast capture of single-frame burst signals; A channel prediction device, used to predict the change of meteor trail channels by using a dynamic evolution model based on the dual-polarity diffusion of the trails; The waveform parameter adaptation device is used to optimize and adapt the communication waveform parameters based on the channel prediction results with the goal of maximizing the data transmission pass rate to generate the best communication waveform.

[0015] Preferably, the above-mentioned receiving end matched filter is matched with each symbol in the baseband signal of the data frame from the transmitting end in turn to form a correlation peak near the optimal decision point; the multiple correlation peaks formed by the matched filter are correlated with the known frame header sequence to obtain a sharp correlation peak position that is strongly correlated with the bit timing, and the position is both the position of the frame positioning and the position of the bit timing. While using the frame header sequence for synchronous capture, the frequency deviation carried in the signal can be estimated by calculating the phase difference between the autocorrelation results of the positive header sequence in the first half and the second half. The frequency deviation is used to correct the baseband signal with frequency deviation after frame positioning to obtain the data frame; the receiving end predicts the change in channel transmission loss caused by the reduction of electron line density and the reduction of signal reflection ability due to the trace diffusion through the dynamic evolution model of the bipolar diffusion of the trace.

[0016] The present invention provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above method is implemented.

[0017] The high-throughput rate meteor trail adaptive communication method provided by the present invention uses a frame header sequence to simultaneously complete tasks such as frequency deviation estimation, bit timing and capture in a burst frame, thereby realizing rapid capture of short-term random burst signals; predicts channel changes and automatically generates an optimal communication waveform, so that the communication waveform can quickly adapt to channel changes during the short period of the meteor trail, thereby realizing adaptation of the communication waveform to the channel transmission capacity.

[0018] The present invention can realize high-rate adaptive communication under short-term burst and fast time-varying channels of meteor trail communication, and plays an important role in improving the capabilities of communication systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the following briefly introduces the drawings required for use in the embodiment of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 A schematic diagram of an embodiment of a meteor trail adaptive communication method of the present invention is shown; Figure 2 A schematic diagram showing another embodiment of the meteor trail adaptive communication method of the present invention is shown; Figure 3 A block diagram of a single-frame burst signal fast capture method of a meteor trail adaptive communication method according to the present invention is shown; Figure 4 A schematic diagram of another embodiment of the meteor trail adaptive communication method of the present invention is shown. DETAILED DESCRIPTION

[0021] The features and exemplary embodiments of various aspects of the present invention will be described in detail below. 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 accompanying drawings and Examples. 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 the need for some of these specific details. The following description of the embodiments is only to provide a better understanding of the present invention by illustrating examples of the present invention.

[0022] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "include..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0023] Meteor trail adaptive communication is a technology that uses the ionized trails produced when meteors enter the atmosphere for communication. Specific implementations include: 1. Formation of meteor trails Meteor entering the atmosphere: A meteor enters the atmosphere at high speed, and the friction with the air generates high temperature, which ionizes the meteor material and forms a short ionized gas track, which is the meteor trail.

[0024] Reflective properties: These ionized traces reflect radio waves, especially in the 30-70 MHz frequency band.

[0025] 2. Communication principles Signal reflection: 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.

[0026] Transience: Meteor trails are short-lived, typically only a few hundred milliseconds to a few seconds, so communications are intermittent.

[0027] 3. Adaptive Communication Real-time detection: The system monitors available meteor trails in real time and selects the best path and frequency for communication.

[0028] Dynamic Adjustment: Dynamically adjust the transmit power, frequency, and data rate based on the changes in the trace to maintain communication quality.

[0029] This approach has the following advantages: Anti-interference: Because it relies on natural phenomena, it is not easily affected by human interference.

[0030] Low interception rate: The signal path is random and difficult to detect and intercept.

[0031] Long-distance communication: Suitable for long-distance communication, especially in remote areas.

[0032] Used for military communications with high security and anti-interference requirements, providing temporary communication means in emergency situations such as natural disasters, and for research on the atmosphere and meteorites.

[0033] Meteor trail adaptive communication uses radio waves reflected by meteor trails to achieve long-distance, interference-resistant communication. Despite the intermittency and bandwidth limitations, it has important application value in specific fields.

[0034] The single-frame burst signal multi-dimensional joint parallel fast capture technology provided by the present invention is a method for efficiently processing burst signals, which is particularly suitable for short-term signal scenarios such as meteor trail communications. The characteristics of burst signals are short signal duration, random occurrence time, and weak signal strength. It is necessary to quickly detect and capture the signal to ensure data integrity and accuracy.

[0035] This embodiment achieves fast capture through multi-dimensional joint parallel processing, which mainly includes signal preprocessing, multi-dimensional feature extraction, parallel processing, joint decision, and fast capture and synchronization.

[0036] The signal preprocessing includes: S11, receiving signals through the antenna and the RF front end.

[0037] S12, perform bandpass filtering and low-noise amplification to remove noise and interference.

[0038] S13, converting the analog signal into a digital signal for subsequent processing.

[0039] Multidimensional feature extraction includes: S21. Time domain features: Extract the time domain features of the signal, such as energy, zero-crossing rate, etc.

[0040] S22. Frequency domain features: Extract the frequency domain features of the signal through FFT, such as spectrum, power spectral density, etc.

[0041] S23. Spatial features: Use multi-antenna arrays to extract spatial features, such as angle of arrival (AoA).

[0042] S24. Modulation characteristics: Analyze the modulation method of the signal, such as BPSK, QPSK, etc.

[0043] Parallel processing includes: S31. Parallel computing architecture: Use hardware accelerators such as FPGA or GPU to achieve parallel computing.

[0044] S32. Parallel algorithm: Design parallel algorithms to process multi-dimensional features simultaneously to improve processing speed.

[0045] S33, pipeline processing: using pipeline technology, the processing tasks are broken down into multiple stages to improve efficiency.

[0046] The joint judgment includes: S41. Feature fusion: Fusion of time domain, frequency domain, spatial domain and modulation features to form a comprehensive feature vector.

[0047] S42, machine learning model: Use machine learning models such as SVM and neural network to make joint decisions and identify signals.

[0048] S43, threshold judgment: make a judgment based on a preset threshold to determine whether a signal exists.

[0049] Fast Capture and Sync includes: S51, signal capture: once a signal is detected, the capture process is immediately started to lock the signal.

[0050] S52, synchronization algorithm: Use a fast synchronization algorithm, such as PLL-based synchronization technology, to achieve signal synchronization.

[0051] S53, data demodulation: demodulate the synchronized signal to restore the original data.

[0052] Through this embodiment, the single-frame burst signal multi-dimensional joint parallel fast capture technology realizes efficient and accurate signal capture through signal preprocessing, multi-dimensional feature extraction, parallel processing, joint judgment, fast capture and synchronization, etc. This technology has broad application prospects in the fields of meteor trail communication, emergency communication and military communication.

[0053] The present invention provides an embodiment of a meteor trail adaptive communication method, comprising a transmitting end and a receiving end. The method utilizes matched filtering 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, and predicts the subsequent transmission capacity of the channel, and automatically generates a communication waveform adapted to the channel characteristics based on the prediction results. The transmitting end completes the prediction results, parameter selection and waveform generation, and the receiving end completes channel prediction, channel estimation and rapid capture. The transmitting end sends the generated waveform to the receiving end through a burst channel, and the receiving end sends the predicted channel data to the transmitting end through a feedback channel.

[0054] like Figure 1 As shown, the present invention provides an embodiment of a meteor trail adaptive communication method, comprising: S101, the receiving end matched filter sequentially matches each symbol in the baseband signal of the data frame from the transmitting end, and forms a correlation peak near the optimal decision point; S102, the receiving end predicts the change of channel transmission loss through the bipolar diffusion dynamic evolution model of the residual trace to obtain a prediction result, and the prediction result is returned to the sending end through the channel as a basis for automatic generation of the communication waveform of the sending end; S103, the transmitting end selects waveform parameters suitable for channel characteristics in the parameter library according to the channel prediction result, generates an optimal communication waveform that dynamically adapts to channel changes with the goal of maximizing data throughput, and sends the data frame to the receiving end.

[0055] In some embodiments, the waveform parameters in the parameter selection of the transmitting end include four parameters: transmission rate, data frame length, coding type and modulation mode.

[0056] In some embodiments, step S101 correlates multiple correlation peaks formed by matched filtering with a known frame header sequence to obtain the position of a sharp correlation peak that is strongly correlated with the bit timing, which is both the position of the frame positioning and the position of the bit timing.

[0057] In some embodiments, while using the frame header sequence for synchronous capture, S101 estimates the frequency deviation carried in the signal by calculating the phase difference between the autocorrelation results of the positive header sequence in the first half and the second half. The frequency deviation is used to correct the baseband signal with frequency deviation after frame positioning to obtain a data frame.

[0058] In some embodiments, the bipolar diffusion dynamic evolution model of the residual trace in S102 is: ; Determined by real-time estimation of the channel The value of the moment , and then predict the subsequent The value of the moment , the prediction result is returned to the transmitter through the channel as the basis for automatic generation of the communication waveform at the transmitter; in, is the meteor incidence angle, is the working wavelength, is the bipolar diffusion factor, is the diffusion time, is the channel prediction time and channel estimation time time difference.

[0059] like Figure 2 As shown, this embodiment also provides a meteor trail adaptive communication method, which specifically includes: using matched filtering and segmented correlation algorithm to identify and quickly capture meteor trail burst signals; calculating the current channel quality based on the received meteor trail signal, and predicting the subsequent transmission capacity of the channel, and automatically generating a communication waveform that adapts to the channel characteristics based on the prediction results.

[0060] In some embodiments, the specific implementation steps are as follows: 1. The matching filter at the receiving end matches each symbol in the baseband signal of the data frame from the transmitting end in turn, forming a correlation peak 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 exact position of the bit timing cannot be determined only by the correlation peak generated by the matching filter. The multiple correlation peaks formed by the matched filter are correlated with the known frame header sequence to obtain a sharp correlation peak that is strongly correlated with the bit timing. This position is both the position of the frame positioning and the position of the bit timing. While using the frame header sequence for synchronous capture, the frequency deviation carried in the signal can be estimated by calculating the phase difference between the autocorrelation results of the positive header sequence in the first half and the second half. The frequency deviation is used to correct the baseband signal with frequency deviation after frame positioning to obtain the data frame. Among them, the fast capture block diagram is as follows Figure 3 shown.

[0061] 2. The receiver predicts the change of channel transmission loss (residue diffusion causes electron line density to decrease and signal reflection capability to decrease) through the dynamic evolution model of the bipolar diffusion of the residual trace. The dynamic evolution model of the bipolar diffusion of the residual trace is expressed as follows: ; Therefore, by real-time estimation of the channel The value of the moment , and then predict the subsequent The value of the moment The prediction result is returned to the transmitter through the channel and serves as the basis for the automatic generation of the communication waveform at the transmitter.

[0062] 3. The transmitter selects waveform parameters such as transmission rate, data frame length, coding type, modulation method, etc. that are suitable for the channel characteristics from the parameter library based on the channel prediction results, generates the best communication waveform that dynamically adapts to channel changes with the goal of maximizing data throughput, and sends the data frame to the receiver.

[0063] like Figure 4 As shown, the present invention provides an embodiment of a meteor trail adaptive communication method, comprising: S201, realizing rapid capture of meteor trail random burst signals by multi-dimensional joint parallel rapid capture of single-frame burst signals, completing frequency offset estimation, bit timing, frame capture and identification simultaneously using only frame header sequence, using bit timing and frame positioning information to jointly determine the best synchronization moment, and using parallel processing methods to realize frequency offset estimation, bit timing and frame positioning; S202, based on the dynamic evolution model of the bipolar diffusion of the meteor trail, the channel change of the meteor trail is predicted, and the subsequent channel change of the meteor trail is predicted by the bipolar diffusion of the meteor trail; The channel estimate As a benchmark, predict the subsequent The value of the moment ; S203. Based on the channel prediction results, the communication waveform parameters are optimized and adapted with the goal of maximizing the data transmission pass rate to generate the best communication waveform. According to the prediction results, the four communication waveform parameters of transmission rate, coding type, modulation mode and frame length are optimized with the goal of maximizing the data transmission pass rate.

[0064] The present invention provides a system embodiment for implementing a meteor trail adaptive communication method, including a transmitting end and a receiving end, and further comprising: A fast capture device, used to realize the fast capture of meteor trail random burst signals through the technical method of multi-dimensional joint parallel fast capture of single-frame burst signals; A channel prediction device, used to predict the change of meteor trail channels by using a dynamic evolution model based on the dual-polarity diffusion of the trails; The waveform parameter adaptation device is used to optimize and adapt the communication waveform parameters based on the channel prediction results with the goal of maximizing the data transmission pass rate to generate the best communication waveform.

[0065] In some embodiments, a matched filter at the receiving end sequentially matches each symbol in a baseband signal of a data frame from the transmitting end to form a correlation peak near an optimal decision point; multiple correlation peaks formed by the matched filter are correlated with a known frame header sequence to obtain a sharp correlation peak position that is strongly correlated with the bit timing, and the position is both the position of the frame positioning and the position of the bit timing. While using the frame header sequence for synchronous capture, the frequency deviation carried in the signal can be estimated by calculating the phase difference between the autocorrelation results of the positive header sequence in the first half and the second half. The frequency deviation is used to correct the baseband signal with frequency deviation after frame positioning to obtain a data frame; the receiving end predicts changes in channel transmission loss caused by a decrease in electron line density and a decrease in signal reflection capability due to the diffusion of the trace through a dynamic evolution model of the bipolar diffusion of the trace.

[0066] Compared with the prior art, the present invention has the following advantages: A technical method for multi-dimensional joint parallel fast capture of single-frame burst signals is proposed. It can simultaneously complete tasks such as frequency offset estimation, bit timing, frame capture and recognition using only the frame header sequence, which can shorten the capture time and improve the capture probability. The communication waveform parameter adaptation method based on channel prediction proposed in the present invention can automatically generate an optimal communication waveform, so that the communication waveform can quickly adapt to channel changes during a short residual trace duration.

[0067] For the convenience of description, the above device is described in various units according to their functions. Of course, when implementing the present application, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0068] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may 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.

[0069] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0070] The present application may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0071] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0072] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0073] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0074] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0075] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. 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 technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0076] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0077] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and 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 partial description of the method embodiment.

[0078] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A meteor trail adaptive communication method, comprising a transmitting end and a receiving end, characterized in that The method utilizes matched filtering and segmentation algorithms to identify and quickly capture meteor trail burst signals, calculates the current channel quality based on the received meteor trail signals, and predicts the subsequent transmission capacity of the channel, and automatically generates a communication waveform adapted to the channel characteristics based on the prediction results. The transmitting end completes the prediction results, parameter selection and waveform generation, and the receiving end completes channel prediction, channel estimation and rapid capture. The transmitting end sends the generated waveform to the receiving end through a burst channel, and the receiving end sends the predicted channel data to the transmitting end through a feedback channel.

2. The meteor trail adaptive communication method according to claim 1, characterized in that The method specifically comprises the following steps: S101, the receiving end matched filter sequentially matches each symbol in the baseband signal of the data frame from the transmitting end, and forms a correlation peak near the optimal decision point; S102, the receiving end predicts the change of channel transmission loss through the bipolar diffusion dynamic evolution model of the residual trace to obtain a prediction result, and the prediction result is returned to the sending end through the channel as a basis for automatic generation of the communication waveform of the sending end; S103, the transmitting end selects waveform parameters suitable for channel characteristics in the parameter library according to the channel prediction result, generates an optimal communication waveform that dynamically adapts to channel changes with the goal of maximizing data throughput, and sends the data frame to the receiving end.

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

4. The meteor trail adaptive communication method according to claim 2, characterized in that: The step S101 correlates the multiple correlation peaks formed by 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. The position is both the frame positioning position and the bit timing position.

5. The meteor trail adaptive communication method according to claim 2, characterized in that While using the frame header sequence for synchronous capture, S101 estimates the frequency deviation carried in the signal by calculating the phase difference between the autocorrelation results of the first half and the second half of the positive header sequence. The frequency deviation is used to correct the baseband signal with frequency deviation after frame positioning to obtain a data frame.

6. The meteor trail adaptive communication method according to claim 2, characterized in that: The bipolar diffusion dynamic evolution model of the residue in S102 is: ； Determined by real-time estimation of the channel The value of the moment , and then predict the subsequent The value of the moment , the prediction result is returned to the transmitter through the channel as the basis for automatic generation of the communication waveform at the transmitter; in, is the meteor incidence angle, is the working wavelength, is the bipolar diffusion factor, is the diffusion time, is the channel prediction time and channel estimation time time difference.

7. The meteor trail adaptive communication method according to claim 1, characterized in that: The method specifically comprises the following steps: S201, realizing rapid capture of meteor trail random burst signals by multi-dimensional joint parallel rapid capture of single-frame burst signals, completing frequency offset estimation, bit timing, frame capture and identification simultaneously using only frame header sequence, using bit timing and frame positioning information to jointly determine the best synchronization moment, and using parallel processing methods to realize frequency offset estimation, bit timing and frame positioning; S202, based on the dynamic evolution model of the bipolar diffusion of the meteor trail, the channel change of the meteor trail is predicted, and the subsequent channel change of the meteor trail is predicted by the bipolar diffusion of the meteor trail; The channel estimate As a benchmark, predict the subsequent The value of the moment ; S203. Based on the channel prediction results, the communication waveform parameters are optimized and adapted with the goal of maximizing the data transmission pass rate to generate the best communication waveform. According to the prediction results, the four communication waveform parameters of transmission rate, coding type, modulation mode and frame length are optimized with the goal of maximizing the data transmission pass rate.

8. A system for implementing the meteor trail adaptive communication method according to any one of claims 1 to 7, comprising a transmitting end and a receiving end, characterized in that Also includes: A fast capture device, used to realize the fast capture of meteor trail random burst signals through the technical method of multi-dimensional joint parallel fast capture of single-frame burst signals; A channel prediction device, used to predict the change of meteor trail channels by using a dynamic evolution model based on the dual-polarity diffusion of the trails; The waveform parameter adaptation device is used to optimize and adapt the communication waveform parameters based on the channel prediction results with the goal of maximizing the data transmission pass rate to generate the best communication waveform.

9. The system according to claim 8, characterized in that The receiving end matched filter sequentially matches each symbol in the baseband signal of the data frame from the transmitting end to form a correlation peak near the optimal decision point; the multiple correlation peaks formed by the matched filter are correlated with the known frame header sequence to obtain a sharp correlation peak position that is strongly correlated with the bit timing, and the position is both the frame positioning position and the bit timing position. While using the frame header sequence for synchronous capture, the frequency deviation carried in the signal can be estimated by calculating the phase angle difference between the autocorrelation results of the positive header sequence in the first half and the second half. The frequency deviation is used to correct the baseband signal with frequency deviation after frame positioning to obtain the data frame; the receiving end predicts the change in channel transmission loss caused by the reduction of electron line density and the reduction of signal reflection ability due to the residual diffusion through the dynamic evolution model of the bipolar diffusion of the residual.

10. A computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method according to any one of claims 1 to 7.

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