A high-reliability ultra-short wave communication transceiving control system based on SDR

Abstract

The application provides a high-reliability ultrashort wave communication transceiving control system based on SDR, relates to the technical field of communication control, and performs channel scanning on a radio frequency front end through an SDR platform to collect communication signal data; in an SDR master control unit, multi-channel state estimation is performed according to the communication signal data, state fuzzy estimation coefficients of each communication channel are obtained, communication optimization is performed according to all the state fuzzy estimation coefficients, and an ultrashort wave reliable communication channel is obtained; a wireless carrier communication signal in the ultrashort wave reliable communication channel is acquired, adaptive filter weight updating is performed through the wireless carrier communication signal, a filter weight updating rule is obtained, and an adaptive filter signal is generated based on the filter weight updating rule; an ultrashort wave adaptive transceiving regulation strategy is generated according to the adaptive filter signal, and transceiving control is performed by using the ultrashort wave adaptive transceiving regulation strategy. The application can realize adaptive selection of a communication channel and adaptive filtering of a signal, so as to improve the reliability of a communication transceiving strategy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication control, and more particularly, to a high-reliability VHF communication transceiver control system based on SDR. BACKGROUND

[0002] The high-reliability VHF (30MHz~300MHz) communication transceiver control system based on SDR (Software Defined Radio) is a new type of communication architecture widely used in key fields such as emergency communication, military communication, and remote dispatch. Relying on the reconfigurability and flexibility of SDR, the system breaks through the limitations of traditional radio equipment relying on fixed hardware structure, and can realize dynamic loading and remote upgrading of communication protocols, waveform parameters, and modulation modes, greatly enhancing the adaptability of the system in complex and variable environments. In practical applications, this type of system is particularly good at high-reliability communication in environments with strong electromagnetic interference, limited spectrum resources, or rapidly changing channels.

[0003] In the prior art, although the transceiver control system based on SDR has significant advantages in flexibility and processing capability, in a complex wireless environment, the channel state changes rapidly over time, and if the spectrum scanning rate is insufficient or the analysis algorithm is not efficient enough, it may lead to channel selection lag, thereby affecting the continuity and stability of communication. And in the environment superimposed with burst noise, it is difficult to balance stability and adaptability in adaptive suppression of communication signal noise. Therefore, how to realize adaptive selection of communication channels and adaptive filtering of signals to improve the reliability of communication transceiver strategies is a problem faced by the industry. SUMMARY

[0004] The present application provides a high-reliability VHF communication transceiver control system based on SDR, which can realize adaptive selection of communication channels and adaptive filtering of signals to improve the reliability of communication transceiver strategies.

[0005] The present application provides a high-reliability VHF communication transceiver control system based on SDR, which comprises:

[0006] The acquisition and transmission module is used to control the radio frequency front end to perform channel scanning on the VHF communication band in wireless carrier communication through the SDR platform, and then acquire communication signal data and transmit the communication signal data to the SDR master control unit.

[0007] The channel optimization module is used to perform multi-channel state estimation according to the communication signal data in the SDR master control unit, and then obtain state fuzzy estimation coefficients of each communication channel in wireless carrier communication, perform communication optimization according to all state fuzzy estimation coefficients, and obtain a VHF reliable communication channel in wireless carrier communication.

[0008] The signal filtering module is configured to acquire a wireless carrier communication signal in the ultra-short wave reliable communication channel, update an adaptive filter weight based on the wireless carrier communication signal, and obtain an adaptive filter weight update rule of the wireless carrier communication signal when adaptive filtering is performed, and generate an adaptive filtering signal corresponding to the wireless carrier communication signal based on the adaptive filter weight update rule.

[0009] The transceiving control module is configured to generate an ultra-short wave adaptive transceiving control strategy in wireless carrier communication based on the adaptive filtering signal, and perform transceiving control using the ultra-short wave adaptive transceiving control strategy in the SDR master control unit.

[0010] In this embodiment, the SDR platform controls the radio frequency front end to perform channel scanning on the ultra-short wave communication frequency band in wireless carrier communication, which specifically includes:

[0011] After the SDR platform is started, the control program initializes the radio frequency front end parameters.

[0012] The SDR platform controls the radio frequency front end to perform frequency band scanning and spectrum estimation on the ultra-short wave communication frequency band in wireless carrier communication, and then obtains a spectrum energy map.

[0013] All communication channels in the current wireless carrier communication are identified based on the spectrum energy map.

[0014] In this embodiment, the communication signal data is collected, which specifically includes:

[0015] For each communication channel in wireless carrier communication, the signal-to-noise ratio, interference index, delay spread, real-time packet loss rate, and channel congestion rate of the communication channel are extracted.

[0016] The channel reference vector of the communication channel is constructed based on the signal-to-noise ratio, the interference index, the delay spread, the real-time packet loss rate, and the channel congestion rate, and then the channel reference vector of each communication channel in wireless carrier communication is obtained.

[0017] The communication signal data of wireless carrier communication is constructed based on all channel reference vectors.

[0018] In this embodiment, multi-channel state estimation is performed based on the communication signal data, and then state fuzzy estimation coefficients of each communication channel in wireless carrier communication are obtained, which specifically includes:

[0019] A set of multi-dimensional fuzzy membership functions is acquired.

[0020] For each communication channel in wireless carrier communication, the channel reference vector of the communication channel is extracted from the communication signal data.

[0021] The multi-dimensional fuzzy membership function set is used to estimate the membership of each channel reference feature in the channel reference vector, thereby obtaining a fuzzy membership factor of each channel reference feature;

[0022] The state fuzzy estimation coefficient of the communication channel is determined by the fuzzy membership factors of all channel reference features, thereby obtaining the state fuzzy estimation coefficient of each communication channel in wireless carrier communication.

[0023] In this embodiment, the communication preference is made according to all state fuzzy estimation coefficients, and the ultrashort wave reliable communication channel in wireless carrier communication is the communication channel corresponding to the maximum state fuzzy estimation coefficient among all state fuzzy estimation coefficients.

[0024] In this embodiment, the wireless carrier communication signal in the ultrashort wave reliable communication channel specifically includes:

[0025] The SDR platform tunes the local oscillator frequency to the center frequency band of the ultrashort wave reliable communication channel by controlling the radio frequency front end;

[0026] The signal containing the carrier in the center frequency band is extracted and demodulated by using orthogonal sampling, thereby obtaining the wireless carrier communication signal in the ultrashort wave reliable communication channel.

[0027] In this embodiment, the adaptive filter weight update is performed by using the wireless carrier communication signal, and the filter weight update rule when the wireless carrier communication signal is adaptively filtered specifically includes:

[0028] The wavelet transform is performed on the wireless carrier communication signal to obtain wavelet coefficients of different scales;

[0029] The wavelet energy distribution of the wireless carrier communication signal is determined by all wavelet coefficients;

[0030] The adaptive filter weight learning factor is constructed based on the wavelet energy distribution;

[0031] The filter weight update rule when the wireless carrier communication signal is adaptively filtered is generated according to the adaptive filter weight learning factor.

[0032] In this embodiment, the adaptive filter signal corresponding to the wireless carrier communication signal is generated based on the filter weight update rule, and the adaptive filter signal corresponding to the wireless carrier communication signal specifically includes:

[0033] The weight of the adaptive filter is updated according to the filter weight update rule, and the wireless carrier communication signal is adaptively filtered by using the adaptive filter, thereby generating the adaptive filter signal corresponding to the wireless carrier communication signal.

[0034] In the embodiment, the adaptive filtering signal is used to generate an ultrashort wave adaptive transceiving control strategy in wireless carrier communication.

[0035] The SDR platform analyzes the adaptive filtering signal in real time, and extracts a short-time signal-to-noise ratio, a bit error rate estimation and a channel impulse response change rate of the adaptive filtering signal.

[0036] The short-time signal-to-noise ratio, the bit error rate estimation and the channel impulse response change rate are used to determine a communication link stability coefficient of wireless carrier communication.

[0037] The communication link stability coefficient is used to generate an ultrashort wave adaptive transceiving control strategy in wireless carrier communication.

[0038] In the embodiment, the transceiving control in the SDR master unit is performed according to the adjustment of the transceiving process of ultrashort wave communication based on the control instruction in the ultrashort wave adaptive transceiving control strategy.

[0039] The technical scheme provided by the embodiment has the following beneficial effects:

[0040] The acquisition and transmission module controls the radio frequency front end to perform channel scanning on the ultrashort wave communication band in wireless carrier communication through the SDR platform, and acquires communication signal data and transmits the communication signal data to the SDR master unit. The channel optimization module performs multi-channel state estimation based on the communication signal data in the SDR master unit, and obtains state fuzzy estimation coefficients of each communication channel in wireless carrier communication. The signal filtering module acquires a wireless carrier communication signal in the ultrashort wave reliable communication channel, updates the adaptive filtering weight based on the wireless carrier communication signal, and obtains a filtering weight update rule of the wireless carrier communication signal in adaptive filtering. The transceiving control module generates an ultrashort wave adaptive transceiving control strategy in wireless carrier communication based on the adaptive filtering signal, and performs transceiving control in the SDR master unit based on the ultrashort wave adaptive transceiving control strategy.

[0041] It can be seen that in the application, firstly, in the SDR master control unit, multi-dimensional state estimation is performed on each communication channel according to communication signal data, and a state fuzzy estimation coefficient is calculated through a fuzzy logic method, and then the optimal channel is selected as a super short wave reliable communication channel according to the maximum estimation value, which can effectively reflect the comprehensive communication quality of the channel in a real complex environment, and through the introduction of the fuzzy estimation mechanism, the evaluation robustness can be maintained when facing nonlinear, uncertain or volatile channel conditions, and the environmental perception ability and link selection intelligence of the communication channel are significantly enhanced. Secondly, the adaptive filter weight update rule for the current channel environment is generated by combining the characteristics of the wireless carrier communication signal, and the adaptive filter signal is outputted, so that the signal-driven dynamic filter matching mechanism is realized, and the adaptive ability of the communication link to multipath interference, burst noise and frequency offset is enhanced. Finally, the super short wave adaptive transceiving control strategy in the wireless carrier communication is generated according to the adaptive filter signal, and the strategy is applied in the SDR master control unit for real-time transceiving control, so that the deep cooperation and dynamic optimization of the communication link and the signal processing process can be realized, and intelligent response can be made based on the instantaneous state of the actual communication channel, thereby improving the reliability of the communication transceiving strategy.

[0042] In summary, the technical scheme adopted by the application can realize adaptive selection of a communication channel and adaptive filtering of a signal, so as to improve the reliability of a communication transceiving strategy. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical scheme in the embodiments of the application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only the embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0044] Figure 1 is a module structure diagram of the high-reliability super short wave communication transceiving control system based on SDR provided by the application;

[0045] Figure 2 is an exemplary flowchart for determining the state fuzzy estimation coefficient of each communication channel in wireless carrier communication provided by the application;

[0046] Figure 3 is an exemplary flowchart for determining the filter weight update rule when the wireless carrier communication signal is adaptively filtered. DETAILED DESCRIPTION

[0047] Clearly, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0048] The embodiment of the present application provides a high-reliability ultrashort wave communication transceiving control system based on SDR. The core is that a collection and transmission module controls a radio frequency front end to perform channel scanning on an ultrashort wave communication frequency band in wireless carrier communication through an SDR platform, thereby collecting communication signal data and transmitting the communication signal data to an SDR master control unit. A channel optimization module performs multi-channel state estimation according to the communication signal data in the SDR master control unit, thereby obtaining state fuzzy estimation coefficients of each communication channel in wireless carrier communication, performing communication optimization according to all the state fuzzy estimation coefficients, and obtaining an ultrashort wave reliable communication channel in wireless carrier communication. A signal filtering module obtains a wireless carrier communication signal in the ultrashort wave reliable communication channel, performs adaptive filter weight updating through the wireless carrier communication signal, thereby obtaining a filter weight updating rule of the wireless carrier communication signal when adaptive filtering is performed, and generating an adaptive filtering signal corresponding to the wireless carrier communication signal based on the filter weight updating rule. A transceiving control module generates an ultrashort wave adaptive transceiving control strategy in wireless carrier communication according to the adaptive filtering signal, and performs transceiving control using the ultrashort wave adaptive transceiving control strategy in the SDR master control unit. The above scheme can realize adaptive selection of a communication channel and adaptive filtering of a signal, so as to improve the reliability of a communication transceiving strategy.

[0049] In order to better understand the above technical solutions, the above technical solutions will be described in detail in combination with the drawings in the specification and specific embodiments. Referring to Figure 1 As shown in the figure, the figure is a module structure diagram of a high-reliability ultrashort wave communication transceiving control system based on SDR according to the embodiment of the present application. The control system includes a collection and transmission module 100, a channel optimization module 200, a signal filtering module 300, and a transceiving control module 400, which are described as follows.

[0050] The collection and transmission module 100 is used to control a radio frequency front end to perform channel scanning on an ultrashort wave communication frequency band in wireless carrier communication through an SDR platform, thereby collecting communication signal data and transmitting the communication signal data to an SDR master control unit.

[0051] In the embodiment, the channel scanning of the ultrashort wave communication frequency band in wireless carrier communication through the SDR platform control radio frequency front end can be specifically implemented in the following manner, that is:

[0052] After the SDR platform is started, the control program initializes the radio frequency front-end parameters;

[0053] The SDR platform controls the radio frequency front-end to perform frequency band scanning and spectrum estimation on the ultra-short wave communication frequency band in the wireless carrier communication, and then obtains a spectrum energy map;

[0054] All communication channels in the current wireless carrier communication are identified according to the spectrum energy map.

[0055] In a specific implementation, first, after the SDR platform is started, the control program initializes the radio frequency front-end parameters, for example, sets the scanning frequency band range (30 MHz to 300 MHz), sets the frequency step interval (for example, 200 kHz) and the scanning time window (for example, 20 ms for each frequency point sampling), specifies the ADC sampling rate (for example, 1 MSps) and the center frequency adjustment mode; then, the SDR platform controls the radio frequency front-end to perform frequency band scanning and spectrum estimation on the ultra-short wave communication frequency band in the wireless carrier communication, that is, the SDR platform sequentially tunes the center frequency of the radio frequency front-end to each scanning frequency point through the local oscillator frequency control instruction, and at each frequency point, the radio frequency front-end receives a signal from an antenna, converts the signal into an intermediate frequency or baseband signal after low-noise amplification, mixing and filtering, and collects the signal into an IQ signal sequence in complex form by an analog-to-digital converter, the SDR platform performs fast Fourier transform on the IQ data collected at each frequency point to obtain the power spectrum density of the corresponding frequency point, the SDR platform continuously loops the frequency points and repeatedly collects and analyzes until the entire set frequency band is covered, and finally a complete spectrum energy map is formed; finally, all communication channels in the current wireless carrier communication are identified according to the spectrum energy map, that is, a background noise reference (for example, -95 dBm) and a judgment threshold (for example, -80 dBm) are set, so as to determine whether there is a power peak obviously higher than the background in each frequency point in the spectrum energy map, if a continuous frequency point is higher than the threshold, it is judged that it constitutes a communication channel, and thus all communication channels in the current wireless carrier communication can be identified.

[0056] In the embodiment, the communication signal data can be collected in the following manner:

[0057] For each communication channel in the wireless carrier communication, the signal-to-noise ratio, the interference index, the delay spread, the real-time packet loss rate and the channel congestion rate of the communication channel are extracted;

[0058] The channel reference vector of the communication channel is constructed by the signal-to-noise ratio, the interference index, the delay spread, the real-time packet loss rate and the channel congestion rate, and then the channel reference vector of each communication channel in the wireless carrier communication is obtained;

[0059] The communication signal data of the wireless carrier communication is constructed based on all the channel reference vectors.

[0060] In a specific implementation, first, for each communication channel in wireless carrier communication, the signal-to-noise ratio, interference index, delay spread, real-time packet loss rate and channel congestion rate of the communication channel can be extracted, for each communication channel, the SDR platform uses short-time energy analysis and correlation filtering method to obtain the signal-to-noise ratio, calculates the interference index by comparing the carrier power with the adjacent band interference strength, estimates the delay spread by channel impulse response analysis or power delay profile, and dynamically calculates the real-time packet loss rate and channel congestion rate by counting the data packet reception during actual data transmission. Then, the channel reference vector of the communication channel can be constructed by the signal-to-noise ratio, interference index, delay spread, real-time packet loss rate and channel congestion rate, that is, the feature vector composed of the signal-to-noise ratio, interference index, delay spread, real-time packet loss rate and channel congestion rate is taken as the channel reference vector of the communication channel, and the channel reference vector of each communication channel in wireless carrier communication can be obtained by the above method. Finally, the communication signal data of wireless carrier communication can be constructed based on all channel reference vectors, that is, the data set composed of all channel reference vectors is taken as the communication signal data of wireless carrier communication, which not only reflects the transmission environment and transmission performance of each channel at the physical layer, but also provides a reliable input basis for subsequent fuzzy comprehensive evaluation, channel optimization, adaptive transceiver control, etc.

[0061] In the embodiment, the communication signal data is transmitted to the SDR host unit, specifically, the communication signal data is transmitted to the SDR host unit for centralized processing through a high-speed data channel, and the transmission process relies on the data bus architecture inside the SDR platform, such as PCIe, USB 3.0, Ethernet (Gigabit Ethernet) or JTAG interface, etc., to ensure that large-capacity IQ data and structured channel parameters can be stably delivered to the host module under low delay conditions. During data transmission, the channel reference vector can be data encapsulated, a fixed format frame structure (such as containing channel ID, sampling timestamp, parameter field, check code, etc.) is used, and is efficiently moved to the host processor memory through the DMA (Direct Memory Access) mechanism.

[0062] It should be noted that by controlling the radio frequency front end of the SDR platform to scan the ultra-short wave communication frequency band in wireless carrier communication, and then collecting the communication signal data and transmitting it to the SDR host unit, real-time perception and dynamic control of the communication environment can be realized, thereby providing key support for subsequent adaptive selection of communication channels and adaptive filtering of signals.

[0063] The channel preference module 200 is used for performing multi-channel state estimation according to the communication signal data in the SDR master unit, so as to obtain state fuzzy estimation coefficients of each communication channel in the wireless carrier communication, and performing communication preference according to all the state fuzzy estimation coefficients, so as to obtain a super-short wave reliable communication channel in the wireless carrier communication.

[0064] Preferably, in the embodiment, the reference Figure 2 As shown in the figure, it is an exemplary flow chart for determining the state fuzzy estimation coefficients of each communication channel in the wireless carrier communication in the embodiment of the present application. The multi-channel state estimation according to the communication signal data in the embodiment can be realized by the following steps.

[0065] In step S21, a set of multi-dimensional fuzzy membership functions is obtained.

[0066] In step S22, for each communication channel in the wireless carrier communication, a channel reference vector of the communication channel is extracted from the communication signal data.

[0067] In step S23, each channel reference feature in the channel reference vector is estimated by using the set of multi-dimensional fuzzy membership functions, so as to obtain fuzzy membership factors of each channel reference feature.

[0068] In step S24, the state fuzzy estimation coefficients of the communication channel are determined by the fuzzy membership factors of all the channel reference features, so as to obtain the state fuzzy estimation coefficients of each communication channel in the wireless carrier communication.

[0069] In a specific implementation, first, a pre-set multi-dimensional fuzzy membership function set can be acquired, i.e., the SDR master control unit loads the pre-set multi-dimensional fuzzy membership function set, which defines corresponding fuzzy membership functions for each type of channel reference feature (such as signal-to-noise ratio, interference index, delay spread, real-time packet loss rate, and channel congestion rate), each fuzzy membership function being used to map a specific channel reference feature value to a fuzzy membership factor between 0 and 1, where the fuzzy membership factor represents the degree of trust in the communication quality of the communication channel in the corresponding channel reference feature dimension. Then, for each communication channel in wireless carrier communication, the channel reference vector of the communication channel can be extracted from the communication signal data, and the multi-dimensional fuzzy membership function set can be used to estimate the membership of each channel reference feature in the channel reference vector, i.e., each channel reference feature in the channel reference vector is input into the corresponding fuzzy membership function in the multi-dimensional fuzzy membership function set, so that the fuzzy membership factor of each channel reference feature can be obtained. Finally, the state fuzzy estimation coefficient of the communication channel can be determined by the fuzzy membership factors of all channel reference features, where the state fuzzy estimation coefficient is the overall availability estimation value of the corresponding communication channel in the current communication environment. The system-set weight coefficient can be acquired, which can be dynamically adjusted based on the business scenario, so that all fuzzy membership factors are weighted and fused based on the corresponding weight coefficient, and the calculated result is taken as the state fuzzy estimation coefficient of the communication channel. In this way, the state fuzzy estimation coefficient of each communication channel in wireless carrier communication can be obtained.

[0070] In this embodiment, communication optimization is performed according to all state fuzzy estimation coefficients, and the communication channel corresponding to the maximum state fuzzy estimation coefficient among all state fuzzy estimation coefficients is taken as the ultra-short wave reliable communication channel in wireless carrier communication.

[0071] In a specific implementation, communication optimization can be performed according to all state fuzzy estimation coefficients, i.e., the SDR master control unit compares the state fuzzy estimation coefficients corresponding to each communication channel, selects the communication channel corresponding to the maximum value, and takes it as the optimal and most reliable communication path at the current time, which is identified as the ultra-short wave reliable communication channel in wireless carrier communication.

[0072] It should be noted that, in the SDR master unit, multi-dimensional state estimation is performed on each communication channel according to communication signal data, state fuzzy estimation coefficients are calculated through a fuzzy logic method, and the optimal channel is selected as the ultra-short wave reliable communication channel according to the maximum estimation value, which can comprehensively consider multiple key dimensions such as signal-to-noise ratio, interference intensity, time delay expansion, packet loss rate and channel congestion, effectively reflect the comprehensive communication quality of the channel in a real complex environment, and through the introduction of a fuzzy estimation mechanism, the system can still maintain the robustness of the evaluation when facing nonlinear, uncertain or volatile channel conditions, avoid false judgments caused by single index fluctuations, significantly enhance the environmental perception ability and link selection intelligence of the communication channel, and effectively improve the reliability of the transmission strategy and the stability of the system in high-interference, multipath fading or link mutation scenarios.

[0073] The signal filtering module 300 is configured to acquire a wireless carrier communication signal in the ultra-short wave reliable communication channel, perform adaptive filter weight updating on the wireless carrier communication signal, and obtain a filter weight updating rule of the wireless carrier communication signal when adaptive filtering is performed, and generate an adaptive filtering signal corresponding to the wireless carrier communication signal based on the filter weight updating rule.

[0074] In this embodiment, the wireless carrier communication signal in the ultra-short wave reliable communication channel can be acquired in the following manner, that is,

[0075] The SDR platform tunes the local oscillator frequency to the center frequency band of the ultra-short wave reliable communication channel through the control of the radio frequency front end.

[0076] The signal containing the carrier in the center frequency band is extracted and demodulated by using quadrature sampling, and the wireless carrier communication signal in the ultra-short wave reliable communication channel is obtained.

[0077] In a specific implementation, first, the SDR platform tunes the local oscillator frequency to the center frequency band of the ultra-short wave reliable communication channel through the control of the radio frequency front end, that is, the SDR platform controls the radio frequency front end to accurately tune the frequency of the local oscillator to the center frequency of the ultra-short wave reliable communication channel according to the previous communication optimization result, the center frequency band is usually located in the range of 30 MHz-300 MHz, and the specific frequency point is determined by the optimal channel determined by the channel state fuzzy estimation coefficient, after the tuning is completed, the radio frequency front end will continuously receive the wireless signals near the frequency point, and the receiving bandwidth is limited through the band pass filter to suppress the adjacent channel interference, then the signals containing the carrier in the center frequency band can be extracted and demodulated by using the quadrature sampling, that is, the I / Q down-conversion sampling is performed on the radio frequency input signal, that is, the in-phase (I) and quadrature phase (Q) components are extracted respectively to form a complex baseband signal sequence, the baseband signal still contains modulation information, carrier frequency offset, multipath effect and other channel characteristics, so that the system accurately extracts the wireless carrier communication signal carried in the current ultra-short wave reliable communication channel as the original input of subsequent adaptive filtering, data recovery and transmission control after processing through the digital down-conversion (DDC), low-pass filtering and digital demodulator (such as BPSK / QPSK / QAM demodulation) and other modules.

[0078] Preferably, in the embodiment, the reference Figure 3 As shown in the figure, which is an exemplary flow chart of the filter weight update rule of the wireless carrier communication signal when performing adaptive filtering in the embodiment of the application, the adaptive filter weight update of the wireless carrier communication signal is performed in the embodiment, and the filter weight update rule of the wireless carrier communication signal when performing adaptive filtering can be realized by the following steps:

[0079] In step S31, wavelet transform is performed on the wireless carrier communication signal to obtain wavelet coefficients of different scales;

[0080] In step S32, the wavelet energy distribution of the wireless carrier communication signal is determined through all the wavelet coefficients;

[0081] In step S33, an adaptive filter weight learning factor is constructed based on the wavelet energy distribution;

[0082] In step S34, the filter weight update rule of the wireless carrier communication signal when performing adaptive filtering is generated according to the adaptive filter weight learning factor.

[0083] In a specific implementation, first, a wavelet transform can be performed on the wireless carrier communication signal, i.e., a discrete wavelet transform is performed on the wireless carrier communication signal to decompose the original time-domain signal into wavelet coefficients at multiple scales (levels); then, a wavelet energy distribution of the wireless carrier communication signal can be determined by all the wavelet coefficients, where the wavelet energy distribution represents the distribution characteristics of the energy of the wireless carrier communication signal at the corresponding frequency band, and in actual implementation, the wavelet energy distribution can be determined in the following manner:

[0084] ;

[0085] wherein, represents the wavelet energy distribution of the wireless carrier communication signal, n represents a corresponding time, and m represents the total number of wavelet coefficients, represents the i-th wavelet coefficient; second, an adaptive filter weight learning factor can be constructed based on the wavelet energy distribution, where the adaptive filter weight learning factor is an adaptive learning factor for regulating the filter weight, and in actual implementation, the adaptive filter weight learning factor can be determined in the following manner:

[0086] ;

[0087] wherein, represents the adaptive filter weight learning factor, represents the wavelet energy distribution of the wireless carrier communication signal, n represents a corresponding time, represents a regulation parameter, which can be pre-set according to historical experience; finally, a filter weight update rule for the wireless carrier communication signal when performing adaptive filtering can be generated according to the adaptive filter weight learning factor, and in actual implementation, the filter weight update rule can be represented by the following formula:

[0088] ;

[0089] wherein, represents the weight of the updated adaptive filter, represents the weight of the adaptive filter, represents the adaptive filter weight learning factor, represents the wireless carrier communication signal, represents an error between the adaptive filter output signal and the wireless carrier communication signal, and n represents a corresponding time.

[0090] In this embodiment, the adaptive filter signal corresponding to the wireless carrier communication signal can be generated based on the filter weight update rule in the following manner, i.e.:

[0091] According to the filter weight update rule, the weight values of the adaptive filter are updated, and then the adaptive filter is used to perform adaptive filtering on the wireless carrier communication signal to generate an adaptive filtering signal corresponding to the wireless carrier communication signal.

[0092] In a specific implementation, first, the weight vector in the adaptive filter is dynamically updated in real time according to the filter weight update rule, so that the filter can adaptively adjust its response to match the current channel characteristics and interference environment; then, the original wireless carrier communication signal is point-by-point filtered using the updated filter, and the multipath interference, noise and frequency offset distortion in the signal are suppressed by minimizing the error signal between the expected output and the actual output, thereby outputting an adaptive filtering signal with higher signal quality and lower bit error rate. The adaptive filtering signal not only retains the main frequency components of the original information, but also reflects the real-time response capability of the filter to the dynamic communication environment, providing a more reliable basis for subsequent modulation and demodulation, decoding and communication control.

[0093] It should be noted that by obtaining the wireless carrier communication signal in the ultra-short wave reliable communication channel and combining the characteristics of the signal to perform adaptive filter weight updating, a filter weight update rule for the current channel environment is generated, and an optimized adaptive filtering signal is output accordingly, realizing a signal-driven dynamic filtering matching mechanism. According to the multi-scale energy distribution and interference characteristics of the actual signal, the filter structure and weight values can be adjusted in real time, so that the output signal always maintains the optimal signal-to-noise ratio and the lowest distortion rate in a complex and variable wireless environment, not only enhancing the adaptability of the communication link to multipath interference, burst noise and frequency offset, but also enabling the communication transceiver strategy to be intelligently adjusted according to the channel changes, such as automatically adjusting the modulation mode, reception window or transmission power, etc., thereby improving the robustness and reliability of the overall communication system.

[0094] The transceiver control module 400 is configured to generate an ultra-short wave adaptive transceiver control strategy in wireless carrier communication according to the adaptive filtering signal, and perform transceiver control using the ultra-short wave adaptive transceiver control strategy in the SDR master control unit.

[0095] In this embodiment, the ultra-short wave adaptive transceiver control strategy in wireless carrier communication according to the adaptive filtering signal can be generated in the following manner, that is:

[0096] The SDR platform performs real-time analysis on the adaptive filtering signal, and then extracts the short-term signal-to-noise ratio, bit error rate estimate and channel impulse response change rate of the adaptive filtering signal;

[0097] The short-term signal-to-noise ratio, the bit error rate estimate and the channel impulse response change rate are used to determine a communication link stability coefficient of the wireless carrier communication;

[0098] generate an ultrashort wave adaptive transceiving control strategy in wireless carrier communication based on the communication link stability coefficient.

[0099] In a specific implementation, first, the SDR platform can extract the short-time signal-to-noise ratio, the bit error rate estimate, and the channel impulse response change rate of the adaptive filtering signal by performing real-time analysis on the adaptive filtering signal, that is, the short-time signal-to-noise ratio is calculated in the time domain by using the sliding window technology, the intelligibility and interference intensity of the adaptive filtering signal are evaluated, the bit error rate of the adaptive filtering signal is estimated by comparing the bit error before and after demodulation, and the fluctuation rate of the channel state over time, that is, the channel impulse response change rate, is obtained by differentiating the impulse response of the adaptive filtering signal, which reflects the change trend of multipath, fading, and fast interference in the communication environment; then, the communication link stability coefficient of wireless carrier communication can be determined according to the short-time signal-to-noise ratio, the bit error rate estimate, and the channel impulse response change rate, wherein the communication link stability coefficient represents the stability degree of the current communication link, and in actual implementation, the short-time signal-to-noise ratio, the bit error rate estimate, and the channel impulse response change rate can be normalized and then weighted and summed, so that the calculation result is taken as the communication link stability coefficient of wireless carrier communication; finally, an ultrashort wave adaptive transceiving control strategy in wireless carrier communication can be generated based on the communication link stability coefficient, for example:

[0100] When the communication link stability coefficient is greater than 0.8, it is judged that the wireless carrier communication is in a high stability interval, and the ultrashort wave adaptive transceiving control strategy includes enabling a high-rate modulation scheme (such as 16QAM), compressing the receiving window, and reducing the transmission power to save energy;

[0101] When the communication link stability coefficient is between 0.5 and 0.8, it is judged that the wireless carrier communication is in a medium stability interval, and the ultrashort wave adaptive transceiving control strategy includes maintaining the current ModCod configuration, moderately increasing the transmission power, and enabling the error correction mechanism.

[0102] When the communication link stability coefficient is less than 0.5, it is judged that the wireless carrier communication is in a low stability interval, and the ultrashort wave adaptive transceiving control strategy includes switching to a low-order modulation (such as BPSK), lengthening the receiving window, enabling the backup channel or frequency hopping mechanism, and improving the robustness.

[0103] In this embodiment, the transceiving control in the SDR master control unit using the ultrashort wave adaptive transceiving control strategy is to adjust the transceiving process of the ultrashort wave communication according to the control instructions in the ultrashort wave adaptive transceiving control strategy.

[0104] It should be noted that the adaptive filter signal is used to generate an ultrashort wave adaptive transceiving control strategy in wireless carrier communication, and the strategy is applied in real time in the SDR master unit for transceiving control, which can realize deep cooperation and dynamic optimization of communication link and signal processing process, can make intelligent response based on the instantaneous state of the actual communication channel (such as short-time signal-to-noise ratio, bit error rate, channel response fluctuation, etc.), dynamically adjust the transmission power, receiving window, modulation and coding mode and frequency configuration, so as to avoid communication interruption, interference amplification or resource waste caused by fixed configuration. Through the adaptive strategy driven transceiving control, the most reliable channel can be selected and the most suitable transceiving parameter configuration is implemented, and the adaptive filtering mechanism of the front end is used to effectively suppress noise and interference, improve signal quality, and greatly improve the adaptability of the communication system to dynamic environment, link stability and anti-interference robustness.

[0105] As can be seen from the above, in the present application, first, in the SDR master unit, the multi-dimensional state estimation of each communication channel is performed according to the communication signal data, and the state fuzzy estimation coefficient is calculated by fuzzy logic method, and then the optimal channel is selected as the ultrashort wave reliable communication channel according to the maximum estimation value, which can effectively reflect the comprehensive communication quality of the channel in the real complex environment, and through the introduction of fuzzy estimation mechanism, the evaluation robustness can be maintained when facing nonlinear, uncertain or fluctuating channel conditions, and the environmental perception ability and link selection intelligence of the communication channel are significantly enhanced; secondly, the adaptive filter weight update is performed by combining the characteristics of wireless carrier communication signal, so as to generate a filter weight update rule for the current channel environment, and output the optimized adaptive filter signal, realizing the dynamic filter matching mechanism driven by the signal, and enhancing the adaptability of the communication link to multipath interference, burst noise and frequency offset; finally, the adaptive filter signal is used to generate an ultrashort wave adaptive transceiving control strategy in wireless carrier communication, and the strategy is applied in real time in the SDR master unit for transceiving control, which can realize deep cooperation and dynamic optimization of communication link and signal processing process, can make intelligent response based on the instantaneous state of the actual communication channel, so as to improve the reliability of the communication transceiving strategy.

[0106] In summary, the technical scheme adopted by the present application can realize adaptive selection of communication channel and adaptive filtering of signal, so as to improve the reliability of the communication transceiving strategy.

[0107] The embodiments of methods, apparatuses (systems) and computer program products according to the present application can be described in flowcharts and / or block diagrams in reference to the methods, apparatuses (systems) and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams 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 apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus generate a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 one or more flows and / or blocks

[0108] Those skilled in the art can understand that all or part of the steps in the above-mentioned embodiments can be completed by programs instructing relevant hardware, and the programs can be stored in a computer readable storage medium, including Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically-Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM) or other optical disk storage, magnetic disk storage, magnetic tape storage, or any other medium capable of carrying or storing data which can be read by a computer.

[0109] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover a non-exclusive inclusion, so that a process, method, article, or apparatus that includes a list of elements not only includes those elements, but also includes other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

Claims

1. A high-reliability ultra-short wave communication transceiving control system based on SDR, characterized in that, The control system comprises: The acquisition transmission module is used for channel scanning of the ultra-short wave communication frequency band in the wireless carrier communication by controlling the radio frequency front end through the SDR platform, and then acquiring communication signal data and transmitting the communication signal data to the SDR host unit; The channel optimization module is used for multi-channel state estimation according to the communication signal data in the SDR host unit, and then obtaining state fuzzy estimation coefficients of each communication channel in the wireless carrier communication, and obtaining an ultra-short wave reliable communication channel in the wireless carrier communication according to all the state fuzzy estimation coefficients; The signal filtering module is used for obtaining the wireless carrier communication signal in the ultra-short wave reliable communication channel, updating the adaptive filter weight through the wireless carrier communication signal, and then obtaining the filter weight update rule of the wireless carrier communication signal when adaptive filtering is performed, and generating an adaptive filtering signal corresponding to the wireless carrier communication signal based on the filter weight update rule; The transceiver control module is used for generating an ultra-short wave adaptive transceiver control strategy in the wireless carrier communication according to the adaptive filtering signal, and performing transceiver control using the ultra-short wave adaptive transceiver control strategy in the SDR host unit; The multi-channel state estimation according to the communication signal data and then obtaining the state fuzzy estimation coefficients of each communication channel in the wireless carrier communication specifically comprises: A set of multi-dimensional fuzzy membership functions is obtained; For each communication channel in the wireless carrier communication, a channel reference vector of the communication channel is extracted from the communication signal data; The membership estimation of each channel reference feature in the channel reference vector is performed using the set of multi-dimensional fuzzy membership functions, and then the fuzzy membership factor of each channel reference feature is obtained; The state fuzzy estimation coefficient of the communication channel is determined through the fuzzy membership factors of all channel reference features, and then the state fuzzy estimation coefficients of each communication channel in the wireless carrier communication are obtained; The ultra-short wave reliable communication channel in the wireless carrier communication is obtained according to all the state fuzzy estimation coefficients, which is to take the communication channel corresponding to the maximum state fuzzy estimation coefficient in all the state fuzzy estimation coefficients as the ultra-short wave reliable communication channel in the wireless carrier communication.

2. The SDR-based high-reliability VHF communication transceiving control system of claim 1, wherein, The channel scanning of the ultra-short wave communication frequency band in the wireless carrier communication by controlling the radio frequency front end through the SDR platform specifically comprises: After the SDR platform is started, the control program initializes the radio frequency front end parameters; The frequency band scanning and spectrum estimation of the ultra-short wave communication frequency band in the wireless carrier communication are performed by controlling the radio frequency front end through the SDR platform, and then the spectrum energy atlas is obtained; All communication channels in the current wireless carrier communication are identified according to the spectrum energy atlas.

3. The SDR-based high-reliability VHF communication transceiving control system of claim 1, wherein, The acquisition of the communication signal data specifically comprises: For each communication channel in the wireless carrier communication, the signal-to-noise ratio, interference index, delay spread, real-time packet loss rate and channel congestion rate of the communication channel are extracted; The channel reference vector of the communication channel is constructed based on the signal-to-noise ratio, the interference index, the delay spread, the real-time packet loss rate and the channel congestion rate, so as to obtain the channel reference vector of each communication channel in wireless carrier communication; The communication signal data of wireless carrier communication is constructed based on all the channel reference vectors.

4. The SDR-based high-reliability VHF communication transceiving control system of claim 1, wherein, The wireless carrier communication signal in the ultrashort wave reliable communication channel is obtained specifically by: The SDR platform tunes the local oscillator frequency to the center frequency band of the ultrashort wave reliable communication channel by controlling the radio frequency front end; The signal containing the carrier in the center frequency band is extracted and demodulated by using orthogonal sampling, so as to obtain the wireless carrier communication signal in the ultrashort wave reliable communication channel.

5. The SDR-based high-reliability VHF communication transceiving control system of claim 1, wherein, The adaptive filter weight update rule when the wireless carrier communication signal is adaptively filtered is obtained by updating the adaptive filter weight based on the wireless carrier communication signal specifically including: Wavelet transform is performed on the wireless carrier communication signal to obtain wavelet coefficients of different scales; The wavelet energy distribution of the wireless carrier communication signal is determined based on all the wavelet coefficients; The adaptive filter weight learning factor is constructed based on the wavelet energy distribution; The adaptive filter weight update rule when the wireless carrier communication signal is adaptively filtered is generated according to the adaptive filter weight learning factor.

6. The SDR-based high-reliability VHF communication transceiving control system of claim 1, wherein, The adaptive filter signal corresponding to the wireless carrier communication signal is generated based on the adaptive filter weight update rule specifically including: The weight of the adaptive filter is updated according to the adaptive filter weight update rule, and then the adaptive filter is used to adaptively filter the wireless carrier communication signal, so as to generate the adaptive filter signal corresponding to the wireless carrier communication signal.

7. The SDR-based high-reliability VHF communication transceiving control system of claim 1, wherein, The ultrashort wave adaptive transceiving control strategy in wireless carrier communication is generated according to the adaptive filter signal specifically including: The SDR platform performs real-time analysis on the adaptive filter signal, and then extracts the short-time signal-to-noise ratio, bit error rate estimation and channel impulse response change rate of the adaptive filter signal; The communication link stability coefficient of wireless carrier communication is determined according to the short-time signal-to-noise ratio, the bit error rate estimation and the channel impulse response change rate; The ultrashort wave adaptive transceiving control strategy in wireless carrier communication is generated based on the communication link stability coefficient.

8. The SDR-based high-reliability VHF communication transceiving control system of claim 1, wherein, The transceiving control in the SDR master unit using the ultrashort wave adaptive transceiving control strategy is to adjust the transceiving process of ultrashort wave communication according to the control instructions in the ultrashort wave adaptive transceiving control strategy.

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