PDF probability model assisted FFT 5G OFDM communication system and method
By integrating PDF probabilistic models and FFT models into a 5G OFDM communication system, a closed-loop anti-interference system was constructed, which solved the problems of insufficient signal recognition accuracy and weak anti-interference capability in complex electromagnetic environments, and achieved high reliability and stable communication performance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-25
- Publication Date
- 2026-03-27
AI Technical Summary
Existing FFT-based 5G OFDM communication systems struggle to effectively cope with random interference in complex battlefield electromagnetic environments, leading to decreased signal recognition accuracy and increased bit error rate. They also lack probabilistic modeling capabilities, making it impossible to achieve intelligent resource allocation and closed-loop anti-interference mechanisms, resulting in deteriorated communication reliability.
By deeply integrating the PDF probabilistic model and the FFT model, a closed-loop anti-interference communication system with environmental awareness and adaptive capabilities is constructed. The signal processing process is dynamically optimized through real-time interference monitoring data, thereby enhancing anti-interference capabilities and signal recognition accuracy.
It significantly improves communication reliability and stability in complex electromagnetic environments, enhances signal recognition accuracy and transmission quality, while maintaining compatibility with existing 5G frameworks, providing a highly reliable military communication solution.
Smart Images
Figure CN121751216A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of wireless communication, in particular to a PDF probability model assisted FFT 5G OFDM communication system and method. BACKGROUND
[0002] In recent years, 5G technology and its core OFDM technology have shown great application potential in military command communication due to their superior transmission performance. However, the existing communication system based on FFT has obvious shortcomings in complex battlefield electromagnetic environment: the deterministic algorithm model is difficult to effectively cope with random interference, resulting in decreased signal recognition accuracy and increased error rate; at the same time, the existing technology lacks the ability to probabilistically model the interference characteristics, which cannot realize intelligent resource allocation and form a closed-loop anti-interference mechanism for perception and adjustment, ultimately causing the communication reliability of the system in a dynamic interference environment to deteriorate sharply, which cannot meet the strict requirements of modern military command for high reliability, low latency and strong anti-interference communication. SUMMARY
[0003] The present application provides a PDF probability model assisted FFT 5G OFDM communication system and method, which solves the technical problems of insufficient signal recognition accuracy and weak anti-interference ability in the prior art.
[0004] To achieve the above purpose, the technical scheme adopted by the present application is as follows: In a first aspect, a PDF probability model assisted FFT 5G OFDM communication system is provided, comprising a sending end module, an interference monitoring module and a receiving end module. The sending end module is configured to generate an original signal, encode the original signal through an encoder to obtain an encoded signal, preprocess the encoded signal through a PDF-FFT algorithm to obtain a preprocessed signal, OFDM modulate the preprocessed signal through an OFDM modulator to obtain a modulated signal, and frame formatize and encapsulate the modulated signal through a 5G frame formatter to obtain an encapsulated signal. The interference monitoring module is configured to obtain interference parameters and transmit them to the sending end module and the receiving end module, and transmit the encapsulated signal to the receiving end module. The receiving end module is configured to receive the encapsulated signal, OFDM demodulate the encapsulated signal through an OFDM demodulator to obtain a demodulated signal, and decode the demodulated signal through an inverse PDF-FFT algorithm to obtain a decoded signal.
[0005] Based on the above technical scheme, in the PDF probability model assisted FFT 5G OFDM communication system provided by the application, a closed-loop anti-interference communication system with environment perception and adaptive ability is constructed by deeply integrating the PDF probability model and the FFT model. The system can dynamically optimize the signal processing process based on real-time interference monitoring data through a probability statistical method, significantly improving the communication reliability and stability in a complex electromagnetic environment. This global optimization design not only enhances the resistance of the system to various types of interference, but also improves the signal recognition accuracy and transmission quality, while maintaining compatibility with the existing 5G framework, providing an effective technical solution for high-reliability military communication.
[0006] In combination with the first aspect, in a possible implementation manner, the preprocessing of the coded signal through the PDF-FFT algorithm comprises: setting a subcarrier number N; modeling the probability distribution of the interference parameters through Gaussian assumption to obtain a PDF probability model; performing parameter estimation on the PDF probability model through Monte Carlo simulation to obtain probability distribution parameters; performing weight distribution on the subcarriers according to the probability distribution parameters to generate PDF weight coefficients; performing FFT transformation on the coded signal based on the PDF weight coefficients to obtain a preprocessed signal.
[0007] In combination with the first aspect, in a possible implementation manner, the expression of the PDF weight coefficient is: ; wherein, is the interference power spectral density at the kth subcarrier index in the transmission channel, is a weight adjustment factor, k = 1, 2, …, N.
[0008] In combination with the first aspect, in a possible implementation manner, the expression of the preprocessed signal is: ; wherein, is an FFT signal after standard FFT transformation on the coded signal, and the expression of the FFT signal is: ; wherein, is the amplitude of the coded signal at the nth time sampling point, n = 1, 2, …, N.
[0009] In conjunction with the first aspect above, in one possible implementation, the OFDM modulation of the preprocessed signal using an OFDM modulator includes: The preprocessed signal is QAM modulated based on Gray coding rules to obtain a modulation symbol sequence; The modulation symbol sequence is subcarrier-mapped using a subcarrier mapper to obtain a subcarrier symbol sequence; The subcarrier symbol sequence is transformed using the IFFT algorithm to obtain the time-domain signal; wherein the expression of the time-domain signal is: ; In the formula, T is the symbol period of the time-domain signal, and t is the time within one symbol period T; A cyclic prefix operation is performed on the time-domain signal to obtain the modulated signal.
[0010] In conjunction with the first aspect above, in one possible implementation, the OFDM demodulation of the packaged signal via an OFDM demodulator includes: The packaged signal is oversampled and converted to an A / D value using an A / D converter to obtain an oversampled signal. The oversampled signal is subjected to a cyclic prefix removal operation to obtain a prefix-free signal; The unprefixed signal is time-domain synchronized and corrected using a time synchronization module to obtain the corrected signal; The demodulated signal is obtained by performing an FFT transform on the correction signal using the FFT algorithm; wherein the expression of the demodulated signal is: ; In the formula, M is the number of oversampled signal points, m = 1, 2, ..., M. The oversampled signal is the index of the m-th time-domain sequence. The expression is: = , For oversampled time-domain signals, This is an oversampled interference signal. This is an oversampled noise signal.
[0011] In conjunction with the first aspect above, in one possible implementation, the decoding of the demodulated signal using the inverse PDF-FFT algorithm includes: The interference parameters are analyzed to obtain the inverse PDF weighting coefficients; wherein the expression for the inverse PDF weighting coefficients is: ; The demodulated signal is corrected using the inverse PDF weighting coefficients to obtain the corrected signal; wherein the expression of the corrected signal is: ; The correction signal is demapped based on the distance metric to obtain the demapped signal; The decoder decodes the demapped signal to obtain the decoded signal.
[0012] In conjunction with the first aspect above, in one possible implementation, the frame formatting and encapsulation of the modulated signal using a 5G frame formatter includes: Constructing 5G frame structure parameters based on 5G communication protocols; Based on the 5G frame structure parameters, a synchronization signal insertion operation is performed on the modulated signal to obtain a complete signal; wherein, the synchronization signal includes: a primary synchronization signal, a secondary synchronization signal, a physical broadcast channel, and a demodulation reference signal; The complete signal is pre-coded by multiple antennas using a digital beamformer to obtain the encapsulated signal.
[0013] In conjunction with the first aspect above, in one possible implementation, the QAM modulation of the preprocessed signal based on Gray coding rules includes: The preprocessed signal is grouped into several group sequences based on a preset fixed length; Based on the Gray coding rules, several grouped sequences are transformed using Gray coding to obtain Gray-coded sequences; Establish a QAM constellation map coordinate system, and perform coordinate mapping on the Gray code sequence based on the QAM constellation map coordinate system to obtain the mapped coordinate sequence; The mapped coordinate sequence is synthesized into a complex symbol sequence to obtain the modulation symbol sequence.
[0014] In a second aspect, a communication device is provided, comprising: a communication unit and a processing unit; the communication unit is used to generate an original signal; the processing unit is used to encode the original signal using an encoder to obtain an encoded signal; preprocess the encoded signal using a PDF-FFT algorithm to obtain a preprocessed signal; perform OFDM modulation on the preprocessed signal using an OFDM modulator to obtain a modulated signal; perform frame formatting encapsulation on the modulated signal using a 5G frame formatter to obtain an encapsulated signal; perform OFDM demodulation on the encapsulated signal using an OFDM demodulator to obtain a demodulated signal; and decode the demodulated signal using an inverse PDF-FFT algorithm to obtain a decoded signal.
[0015] Thirdly, this application provides a communication device, comprising: a processor and a storage medium; the storage medium includes instructions, and the processor is configured to execute the instructions to implement the methods described in the first aspect and any possible implementation thereof. The communication device may be an electronic device or a chip within an electronic device.
[0016] Fourthly, this application provides a 5G OFDM communication system based on PDF probability model-assisted FFT, comprising: a transmitting module, an interference monitoring module, and a receiving module; wherein, the transmitting module is used to generate an original signal; encode the original signal using an encoder to obtain an encoded signal; preprocess the encoded signal using a PDF-FFT algorithm to obtain a preprocessed signal; perform OFDM modulation on the preprocessed signal using an OFDM modulator to obtain a modulated signal; and perform frame formatting and encapsulation on the modulated signal using a 5G frame formatter to obtain an encapsulated signal; the interference monitoring module is used to acquire interference parameters and transmit them to the transmitting module and the receiving module; transmit the encapsulated signal to the receiving module; the receiving module is used to receive the encapsulated signal; perform OFDM demodulation on the encapsulated signal using an OFDM demodulator to obtain a demodulated signal; and decode the demodulated signal using an inverse PDF-FFT algorithm to obtain a decoded signal.
[0017] Fifthly, this application provides a computer-readable storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the methods described in the first aspect and any possible implementation thereof.
[0018] Sixthly, this application provides a computer program product containing instructions that, when run on a communication device, cause the communication device to perform the methods described in the first aspect and any possible implementation thereof.
[0019] This application provides a 5G OFDM communication system and method based on PDF probabilistic model-assisted FFT. By deeply integrating the PDF probabilistic model with the FFT model, a closed-loop anti-jamming communication system with environmental awareness and adaptive capabilities is constructed. Based on real-time interference monitoring data, the system dynamically optimizes the signal processing process using probabilistic statistical methods, significantly improving communication reliability and stability in complex electromagnetic environments. This globally optimized design not only enhances the system's resistance to various types of interference but also improves signal recognition accuracy and transmission quality, while maintaining compatibility with existing 5G frameworks, providing an effective technical solution for achieving highly reliable military communications.
[0020] It should be understood that the descriptions of technical features, technical solutions, beneficial effects, or similar language in this application do not imply that all features and advantages can be achieved in any single embodiment. Rather, it is understood that the description of a feature or beneficial effect means that a specific technical feature, technical solution, or beneficial effect is included in at least one embodiment. Therefore, the descriptions of technical features, technical solutions, or beneficial effects in this specification do not necessarily refer to the same embodiment. Furthermore, the technical features, technical solutions, and beneficial effects described in this embodiment can be combined in any suitable manner. Those skilled in the art will understand that embodiments can be implemented without one or more specific technical features, technical solutions, or beneficial effects of a particular embodiment. In other embodiments, additional technical features and beneficial effects may be identified in specific embodiments that do not embody all embodiments. Attached Figure Description
[0021] Figure 1 A system architecture diagram of a 5G OFDM communication system with PDF probability model-assisted FFT provided in this application embodiment; Figure 2 A schematic diagram of a PDF probability model-assisted FFT 5G OFDM communication process provided in an embodiment of this application; Figure 3 A schematic diagram of another PDF probability model-assisted FFT 5G OFDM communication process provided for an embodiment of this application; Figure 4 A schematic diagram of another PDF probability model-assisted FFT 5G OFDM communication process provided for an embodiment of this application; Figure 5 This is a schematic diagram of the structure of a communication device provided in an embodiment of this application; Figure 6 This is a schematic diagram of the hardware structure of a communication device provided in an embodiment of this application. Detailed Implementation
[0022] In the description of this application, unless otherwise stated, " / " means "or," for example, A / B can mean A or B. "And / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone. Furthermore, "at least one" means one or more, and "multiple" means two or more. The terms "first," "second," etc., do not limit the quantity or order of execution, and "first," "second," etc., do not necessarily imply differences.
[0023] It should be noted that, in this application, the terms "exemplary" or "for example" are used to indicate that something is being described as an example, illustration, or illustration. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or design solutions. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.
[0024] The PDF probability model-assisted FFT 5G OFDM communication system provided in this application embodiment can be applied to, for example... Figure 1 In the 5G OFDM communication system 100 with PDF probability model-assisted FFT shown, such as Figure 1 As shown, the communication system includes: a transmitting module 10, an interference monitoring module 20, and a receiving module 30.
[0025] The transmitting module 10 is used to generate the original signal; encode the original signal using an encoder to obtain an encoded signal; preprocess the encoded signal using a PDF-FFT algorithm to obtain a preprocessed signal; perform OFDM modulation on the preprocessed signal using an OFDM modulator to obtain a modulated signal; and perform frame formatting and encapsulation on the modulated signal using a 5G frame formatter to obtain an encapsulated signal.
[0026] Interference monitoring module 20 is used to acquire interference parameters and transmit them to the transmitting module and the receiving module; and to transmit the encapsulated signal to the receiving module.
[0027] The receiver module 30 is used to receive the encapsulated signal; perform OFDM demodulation on the encapsulated signal using an OFDM demodulator to obtain the demodulated signal; and decode the demodulated signal using an inverse PDF-FFT algorithm to obtain the decoded signal.
[0028] To address the technical problems of insufficient signal recognition accuracy and weak anti-interference capability in existing technologies, this application provides a 5G OFDM communication system with PDF probability model-assisted FFT, which includes: a transmitter module, an interference monitoring module, and a receiver module; The transmitting module is used to: generate the original signal; encode the original signal using an encoder to obtain an encoded signal; preprocess the encoded signal using a PDF-FFT algorithm to obtain a preprocessed signal; perform OFDM modulation on the preprocessed signal using an OFDM modulator to obtain a modulated signal; and perform frame formatting and encapsulation on the modulated signal using a 5G frame formatter to obtain an encapsulated signal. The interference monitoring module is used to acquire interference parameters and transmit them to the transmitting module and the receiving module; and to transmit the encapsulated signal to the receiving module. The receiving module is used to receive the encapsulated signal; demodulate the encapsulated signal using an OFDM demodulator to obtain a demodulated signal; and decode the demodulated signal using an inverse PDF-FFT algorithm to obtain a decoded signal.
[0029] Based on this, the technical problems of insufficient signal recognition accuracy and weak anti-interference ability in the existing technology are solved.
[0030] like Figure 2 As shown in the embodiments of this application, the 5G OFDM communication system with PDF probability model-assisted FFT includes: Transmitter module: Used to generate the original signal; encode the original signal using an encoder to obtain the encoded signal; preprocess the encoded signal using a PDF-FFT algorithm to obtain the preprocessed signal; perform OFDM modulation on the preprocessed signal using an OFDM modulator to obtain the modulated signal; and perform frame formatting and encapsulation on the modulated signal using a 5G frame formatter to obtain the encapsulated signal.
[0031] For example, the data source submodule of command post A generates a tactical data stream multiplexed from real-time command commands, high-definition battlefield video streams, and multi-channel sensor data, with its original data rate stabilized at 100 Mbps. This data stream is then channel-coded by a Turbo encoder using a coding scheme with a code rate of 1 / 2, and bit-interleaved using an interleaver with a length of 512, ultimately outputting a coded signal with a code rate of 200 Mbps, providing a signal source with strong error correction capabilities for subsequent PDF-FFT preprocessing.
[0032] In some implementations, the preprocessing of the encoded signal using the PDF-FFT algorithm is performed, such as... Figure 3 As shown, it includes: Set the number of subcarriers N; By modeling the probability distribution of the interference parameters using the Gaussian assumption, a PDF probability model is obtained. The parameters of the PDF probability model were estimated using Monte Carlo simulation to obtain the probability distribution parameters; The subcarriers are weighted according to the probability distribution parameters to generate PDF weight coefficients; The encoded signal is subjected to FFT transformation based on PDF weighting coefficients to obtain a preprocessed signal.
[0033] For example, the system is configured with a total number of subcarriers N=1024. First, based on the interference power spectral density data fed back in real time by the interference monitoring module, a PDF probability model with a mean of 0 and a standard deviation of 1 is established using a Gaussian distribution model. Monte Carlo simulation is used to perform 1000 iterations of parameter estimation to obtain accurate probability distribution parameters. Then, the PDF weight coefficient of each subcarrier is calculated according to the interference power spectral density, where the interference power spectral density threshold is set to -10dB. The subcarrier allocation ratio is determined based on the cumulative distribution function, with the threshold set to 0.8. Finally, the weight coefficient vector is multiplied by the frequency domain signal after Turbo encoding, and the FFT transformation optimization based on probability statistics is completed on the NI USRP-2954R software radio platform to output the pre-processed signal after anti-interference processing.
[0034] In some implementations, the expression for the PDF weight coefficient is: ; in, Let K be the interference power spectral density at the index of the k-th subcarrier in the transmission channel. is the weighting adjustment factor, k=1,2,...,N.
[0035] It should be noted that the weighting adjustment factor The larger the value is set, the smaller the PDF weighting coefficient will be for the same interference power spectral density, resulting in more severe suppression of the corresponding subcarriers and less allocated signal data. The system can dynamically adjust this through optimization algorithms. To achieve the optimal balance between anti-interference capability and signal distortion, a closed-loop adaptive anti-interference mechanism was established by converting real-time interference monitoring data into probability weights. This mechanism enables the system to dynamically avoid high-interference frequency bands, significantly improving communication reliability in complex electromagnetic environments.
[0036] For example, weighting adjustment factor The value is set to 0.5, and the total number of subcarriers N=1024. The interference power spectral density of each subcarrier is obtained through real-time monitoring. ,when When the threshold of -10dB is exceeded, the system automatically activates the weight calculation mechanism. This weight coefficient achieves dynamic suppression of high-interference subcarriers while preserving the transmission capability of low-interference subcarriers. Under the premise of ensuring the system throughput of 850Mbps, the preprocessing delay is strictly controlled within 0.5ms, which effectively improves the anti-interference performance of the system in complex electromagnetic environments.
[0037] In some implementations, the expression for the preprocessed signal is: ; in, The FFT signal is the result of performing a standard FFT transform on the encoded signal. The expression is: ; In the formula, Let be the amplitude of the coded signal at the nth time sampling point, where n = 1, 2, ..., N.
[0038] For example, the system uses N=1024-point FFT to process the Turbo-encoded time-domain signal x[n], and obtains the frequency-domain signal X[k] through the FFT processor. This signal is then multiplied with the PDF weighting coefficients generated based on real-time interference monitoring (where the adjustment factor α=0.5), and the preprocessed signal X'[k] with probability weighting is output.
[0039] In some implementations, the preprocessed signal is OFDM modulated using an OFDM modulator, such as... Figure 4 As shown, it includes: The preprocessed signal is QAM modulated based on Gray coding rules to obtain a modulation symbol sequence; The modulation symbol sequence is subcarrier-mapped using a subcarrier mapper to obtain a subcarrier symbol sequence; The subcarrier symbol sequence is transformed using the IFFT algorithm to obtain the time-domain signal; wherein the expression of the time-domain signal is: ; In the formula, T is the symbol period of the time-domain signal, and t is the time within one symbol period T; A cyclic prefix operation is performed on the time-domain signal to obtain the modulated signal.
[0040] For example, the preprocessed signal is first mapped to a constellation diagram using a 64-QAM modulator to generate a modulation symbol sequence containing 1024 complex symbols. Then, the sequence is allocated to N=1024 subcarriers using a subcarrier mapper, which includes 800 data subcarriers, 160 pilot subcarriers, and 64 guard subcarriers. Subsequently, the frequency domain sequence is subjected to an inverse Fourier transform by an IFFT processor to obtain a time domain signal. Finally, a cyclic prefix of 144 sampling points is added to the time domain signal, which accounts for 1 / 7 of the effective symbol length, to generate the modulation signal.
[0041] In some implementations, the QAM modulation of the preprocessed signal based on Gray coding rules includes: The preprocessed signal is grouped into several group sequences based on a preset fixed length; Based on the Gray coding rules, several grouped sequences are transformed using Gray coding to obtain Gray-coded sequences; Establish a QAM constellation map coordinate system, and perform coordinate mapping on the Gray code sequence based on the QAM constellation map coordinate system to obtain the mapped coordinate sequence; The mapped coordinate sequence is synthesized into a complex symbol sequence to obtain the modulation symbol sequence.
[0042] For example, firstly, the preprocessed signal with a code rate of 200 Mbps is grouped into 6-bit groups by a grouper, resulting in 33.3M group sequences. Then, these group sequences are converted by a Gray encoder to ensure that there is only one bit difference between adjacent constellation points, resulting in a Gray encoded sequence. Subsequently, a 64-QAM constellation map coordinate system is established, which contains 8×8 uniformly distributed constellation points. The Gray encoded sequence is mapped to the corresponding in-phase and orthogonal coordinates by a mapper, resulting in a mapped coordinate sequence containing I and Q components. Finally, the sequence is synthesized into 33.3M complex modulation symbols by a complex symbol synthesizer, generating a modulation symbol sequence with a symbol rate of 33.3 MBaud, thus completing the conversion process from bit stream to complex symbols.
[0043] In some implementations, the frame formatting and encapsulation of the modulated signal using a 5G frame formatter includes: Constructing 5G frame structure parameters based on 5G communication protocols; Based on the 5G frame structure parameters, a synchronization signal insertion operation is performed on the modulated signal to obtain a complete signal; wherein, the synchronization signal includes: a primary synchronization signal, a secondary synchronization signal, a physical broadcast channel, and a demodulation reference signal; The complete signal is pre-coded by multiple antennas using a digital beamformer to obtain the encapsulated signal.
[0044] For example, firstly, a frame structure is constructed based on the 3GPP Release 15 standard, configuring radio frames with a frame length of 10ms, each frame containing 10 1ms subframes, and 14 OFDM symbols arranged in each time slot; then, through a signal insertion unit, the primary synchronization signal, secondary synchronization signal, physical broadcast channel, and demodulation reference signal based on the Zadoff-Chu sequence (length 127) are sequentially inserted into the time-frequency resource positions specified in the standard to form a complete frame structure signal; finally, a 4×4 MIMO antenna array is used, with an antenna spacing of 0.5λ configured at a 3.5GHz carrier frequency, and the frame structure signal is pre-coded using digital beamforming technology. Under the premise of ensuring that the equivalent omnidirectional radiated power does not exceed 23dBm, an encapsulated signal with spatial directional transmission characteristics is generated, effectively reducing sidelobe interference, and completing the frame formatting and transmission preparation in accordance with the 5G standard.
[0045] Interference monitoring module: used to acquire interference parameters and transmit them to the transmitting and receiving modules; and to transmit the encapsulated signal to the receiving module.
[0046] For example, at the receiving end, a monitoring antenna array deployed at a height of 10-20 meters collects channel data in real time at a sampling rate of 100MS / s in the 1-6GHz auxiliary frequency band. The interference power spectral density of each subcarrier is calculated using a digital spectrum analyzer, and a power allocation scheme is generated using a water-filling power algorithm. Finally, interference characteristic information, including PSD data and power allocation parameters, is transmitted to the transmitting end within a 1ms delay via an independent wireless feedback link. The transmitting end dynamically adjusts its transmission strategy based on these real-time interference parameters, forming a complete closed-loop anti-interference control loop to ensure optimal communication performance of the system even in complex terrain environments.
[0047] Receiver module: Used to receive the encapsulated signal; demodulate the encapsulated signal using an OFDM demodulator to obtain the demodulated signal; and decode the demodulated signal using an inverse PDF-FFT algorithm to obtain the decoded signal.
[0048] In some implementations, the OFDM demodulation of the packaged signal using an OFDM demodulator includes: The packaged signal is oversampled and converted to an A / D value using an A / D converter to obtain an oversampled signal. The oversampled signal is subjected to a cyclic prefix removal operation to obtain a prefix-free signal; The unprefixed signal is time-domain synchronized and corrected using a time synchronization module to obtain the corrected signal; The demodulated signal is obtained by performing an FFT transform on the correction signal using the FFT algorithm; wherein the expression of the demodulated signal is: ; In the formula, M is the number of oversampled signal points, m = 1, 2, ..., M. The oversampled signal is the index of the m-th time-domain sequence. The expression is: = , For oversampled time-domain signals, This is an oversampled interference signal. This is an oversampled noise signal.
[0049] For example, the received packaged signal is oversampled at a sampling rate of 200 MS / s using a high-speed A / D converter to obtain an oversampled signal with M=2048 points. Then, the cyclic prefix removal module removes the cyclic prefix of 144 sampling points at the front end of each OFDM symbol to obtain a prefix-free signal. Subsequently, the signal is time-domain synchronized and corrected by a time synchronization module based on PSS sequence correlation detection to eliminate symbol timing deviation and obtain a precisely synchronized corrected signal. Finally, the corrected signal is frequency-domain transformed by a 2048-point FFT processor to obtain a demodulated signal.
[0050] In some implementations, the decoding of the demodulated signal using the inverse PDF-FFT algorithm includes: The interference parameters are analyzed to obtain the inverse PDF weighting coefficients; wherein the expression for the inverse PDF weighting coefficients is: ; The demodulated signal is corrected using the inverse PDF weighting coefficients to obtain the corrected signal; wherein the expression of the corrected signal is: ; The correction signal is demapped based on the distance metric to obtain the demapped signal; The decoder decodes the demapped signal to obtain the decoded signal.
[0051] For example, the received interference parameters are parsed by a parameter resolver to extract the interference power spectral density of each subcarrier under the current channel state, and then the inverse PDF weighting coefficient is calculated, where the weighting adjustment factor α is set to 0.5. Next, the demodulated signal is divided by the inverse PDF weighting coefficient by a frequency domain corrector to obtain the corrected signal, realizing the inverse processing of the probability weighting at the transmitting end. Subsequently, based on the minimum Euclidean distance criterion, a 64-QAM soft decision demapper is used to perform constellation diagram demapping on the corrected signal to obtain the log-likelihood ratio sequence. Finally, the sequence is iteratively decoded by a Turbo decoder using a decoding scheme with a code rate of 1 / 2. After 6 iterations, the final decoded signal is output, completing the complete recovery process from the damaged signal to the original data.
[0052] Based on the above technical solution, the PDF probabilistic model-assisted FFT 5G OFDM communication system provided in this application constructs a closed-loop anti-interference communication system with environmental awareness and adaptive capabilities by deeply integrating the PDF probabilistic model with the FFT model. This system can dynamically optimize the signal processing process based on real-time interference monitoring data using probabilistic statistical methods, significantly improving communication reliability and stability in complex electromagnetic environments. This globally optimized design not only enhances the system's resistance to various types of interference but also improves signal recognition accuracy and transmission quality, while maintaining compatibility with the existing 5G framework, providing an effective technical solution for achieving highly reliable military communications.
[0053] The foregoing mainly describes the solutions of the embodiments of this application from the perspective of device implementation. It is understood that each device, such as a communication device, includes at least one of the hardware structures and software modules corresponding to the execution of each function in order to achieve the above-mentioned functions. Those skilled in the art should readily recognize that, based on the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in a hardware-driven or software-driven manner depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0054] This application embodiment can divide the communication device into functional units according to the above method example. For example, each function can be divided into a separate functional unit, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in hardware or as a software functional unit. It should be noted that the unit division in this application embodiment is illustrative and only represents one logical functional division. In actual implementation, there may be other division methods.
[0055] When using integrated units, Figure 5 A possible structural schematic diagram of the communication device (referred to as communication device 50) involved in the above embodiments is shown. The communication device 50 includes a processing unit 501 and a communication unit 502, and may also include a storage unit 503. Figure 5 The structural diagram shown can be used to illustrate the structure of the communication device involved in the above embodiments.
[0056] when Figure 5The schematic diagram shown is used to illustrate the structure of the communication device involved in the above embodiments. The processing unit 501 is used to control and manage the operation of the communication device, the communication unit 502 is used for the communication device to communicate with other devices, and the storage unit 503 is used to store the program code and data of the communication device.
[0057] For example, communication unit 502 is used to generate the original signal; The processing unit 501 is used to encode the original signal using an encoder to obtain an encoded signal; preprocess the encoded signal using a PDF-FFT algorithm to obtain a preprocessed signal; perform OFDM modulation on the preprocessed signal using an OFDM modulator to obtain a modulated signal; perform frame formatting and encapsulation on the modulated signal using a 5G frame formatter to obtain an encapsulated signal; perform OFDM demodulation on the encapsulated signal using an OFDM demodulator to obtain a demodulated signal; and decode the demodulated signal using an inverse PDF-FFT algorithm to obtain a decoded signal.
[0058] The processing unit 501 can be a processor or a controller, and the communication unit 502 can be a communication interface, transceiver, transceiver circuit, transceiver device, etc. The term "communication interface" is a general term and may include one or more interfaces. The storage unit 503 can be a memory. When the communication device 50 is a chip, the processing unit 501 can be a processor or a controller, and the communication unit 502 can be an input interface and / or an output interface, pins, or circuits, etc. The storage unit 503 can be a storage unit within the chip (e.g., a register, cache, etc.) or a storage unit located outside the chip (e.g., read-only memory (ROM), random access memory (RAM, etc.).
[0059] The communication unit can also be called a transceiver unit. The antenna and control circuit with transceiver functions in the communication device 50 can be considered as the communication unit 502 of the communication device 50, and the processor with processing functions can be considered as the processing unit 501 of the communication device 50. Optionally, the device in the communication unit 502 that implements the receiving function can be considered as a communication unit. The communication unit is used to execute the receiving steps in the embodiments of this application, and the communication unit can be a receiver, a receiver circuit, etc. The device in the communication unit 502 that implements the transmitting function can be considered as a transmitting unit. The transmitting unit is used to execute the transmitting steps in the embodiments of this application, and the transmitting unit can be a transmitter, a transmitter, a transmitting circuit, etc.
[0060] Figure 5If the integrated units in the process are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. Storage media for storing computer software products include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory, random access memory, magnetic disks, or optical disks.
[0061] Figure 5 The units in the process can also be called modules; for example, a processing unit can be called a processing module.
[0062] This application also provides a hardware structure diagram of a communication device (denoted as communication device 60), see [link to diagram]. Figure 6 The communication device 60 includes a processor 601, and optionally, a memory 602 connected to the processor 601.
[0063] In the first possible implementation, see Figure 6 The communication device 60 also includes a transceiver 603. The processor 601, memory 602, and transceiver 603 are connected via a bus. The transceiver 603 is used to communicate with other devices or communication networks. Optionally, the transceiver 603 may include a transmitter and a receiver. The device in the transceiver 603 that implements the receiving function can be considered as a receiver, which is used to perform the receiving steps in the embodiments of this application. The device in the transceiver 603 that implements the transmitting function can be considered as a transmitter, which is used to perform the transmitting steps in the embodiments of this application.
[0064] Based on the first possible implementation method Figure 6 The structural diagram shown can be used to illustrate the structure of the communication device involved in the above embodiments.
[0065] in, Figure 6 Alternatively, the system chip in the communication device can be illustrated. In this case, the actions performed by the aforementioned communication device can be implemented by the system chip; the specific actions performed can be found above and will not be repeated here.
[0066] In implementation, each step of the method provided in this embodiment can be completed by integrated logic circuits in the processor or by instructions in software form. The steps of the method disclosed in the embodiments of this application can be directly manifested as being executed by a hardware processor, or being executed by a combination of hardware and software modules in the processor.
[0067] The processor in this application may include, but is not limited to, at least one of the following: a central processing unit (CPU), a microprocessor, a digital signal processor (DSP), a microcontroller unit (MCU), or an artificial intelligence processor, etc., which are various computing devices that run software. Each computing device may include one or more cores for executing software instructions to perform calculations or processing. The processor may be a separate semiconductor chip or integrated with other circuits into a single semiconductor chip. For example, it may be integrated with other circuits (such as encoding / decoding circuits, hardware acceleration circuits, or various bus and interface circuits) to form a SoC (System-on-a-Chip), or it may be integrated as a built-in processor within an ASIC. The ASIC with the integrated processor may be packaged separately or together with other circuits. In addition to the cores for executing software instructions to perform calculations or processing, the processor may further include necessary hardware accelerators, such as field-programmable gate arrays (FPGAs), PLDs (programmable logic devices), or logic circuits that implement dedicated logic operations.
[0068] The memory in the embodiments of this application may include at least one of the following types: read-only memory (ROM) or other types of static storage devices capable of storing static information and instructions; random access memory (RAM) or other types of dynamic storage devices capable of storing information and instructions; or electrically erasable programmable-only memory (EEPROM). In some scenarios, the memory may also be a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto.
[0069] This application also provides a computer-readable storage medium including instructions that, when run on a computer, cause the computer to perform any of the methods described above.
[0070] This application also provides a computer program product containing instructions that, when run on a computer, cause the computer to perform any of the methods described above.
[0071] This application also provides a chip including a processor and an interface circuit. The interface circuit is coupled to the processor. The processor is used to run computer programs or instructions to implement the above-described method. The interface circuit is used to communicate with other modules outside the chip.
[0072] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software programs, implementation can be, in whole or in part, in the form of a computer program product. This computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device containing one or more servers, data centers, etc., that can be integrated with the medium. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state disks (SSDs)).
[0073] Although this application has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings, disclosure, and appended claims, will understand and implement other variations of the disclosed embodiments in carrying out the claimed application. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple instances. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.
[0074] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely exemplary illustrations of this application as defined by the appended claims, and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from the spirit and scope of this application. Thus, if such modifications and modifications of this application fall within the scope of the claims of this application and their equivalents, this application is also intended to include such modifications and modifications.
Claims
1. A 5G OFDM communication system using PDF probability model-assisted FFT, characterized in that, It includes a transmitter module, an interference monitoring module, and a receiver module; The transmitting module is used to: generate the original signal; encode the original signal using an encoder to obtain an encoded signal; preprocess the encoded signal using a PDF-FFT algorithm to obtain a preprocessed signal; and modulate the preprocessed signal using an OFDM modulator to obtain a modulated signal. The modulated signal is formatted and encapsulated using a 5G frame formatter to obtain an encapsulated signal. The interference monitoring module is used to acquire interference parameters and transmit them to the transmitting module and the receiving module. Transmit the encapsulated signal to the receiving module; The receiving module is used to receive the encapsulated signal; demodulate the encapsulated signal using an OFDM demodulator to obtain a demodulated signal; and decode the demodulated signal using an inverse PDF-FFT algorithm to obtain a decoded signal.
2. The system according to claim 1, characterized in that, The preprocessing of the encoded signal using the PDF-FFT algorithm includes: Set the number of subcarriers N; By modeling the probability distribution of the interference parameters using the Gaussian assumption, a PDF probability model is obtained. The parameters of the PDF probability model were estimated using Monte Carlo simulation to obtain the probability distribution parameters; The subcarriers are weighted according to the probability distribution parameters to generate PDF weight coefficients; The encoded signal is subjected to FFT transformation based on PDF weighting coefficients to obtain a preprocessed signal.
3. The system according to claim 2, characterized in that, The expression for the PDF weighting coefficient is: ； in, Let K be the interference power spectral density at the index of the k-th subcarrier in the transmission channel. is the weighting adjustment factor, k=1,2,...,N.
4. The system according to claim 3, characterized in that, The expression for the preprocessed signal is: ； in, The FFT signal is the result of performing a standard FFT transform on the encoded signal. The expression is: ； In the formula, Let be the amplitude of the coded signal at the nth time sampling point, where n = 1, 2, ..., N.
5. The system according to claim 4, characterized in that, The process of performing OFDM modulation on the preprocessed signal using an OFDM modulator includes: The preprocessed signal is QAM modulated based on Gray coding rules to obtain a modulation symbol sequence; The modulation symbol sequence is subcarrier-mapped using a subcarrier mapper to obtain a subcarrier symbol sequence; The subcarrier symbol sequence is transformed using the IFFT algorithm to obtain the time-domain signal; wherein the expression of the time-domain signal is: ； In the formula, T is the symbol period of the time-domain signal, and t is the time within one symbol period T; A cyclic prefix operation is performed on the time-domain signal to obtain the modulated signal.
6. The system according to claim 5, characterized in that, The OFDM demodulation of the packaged signal using an OFDM demodulator includes: The packaged signal is oversampled and converted to an A / D value using an A / D converter to obtain an oversampled signal. The oversampled signal is subjected to a cyclic prefix removal operation to obtain a prefix-free signal; The unprefixed signal is time-domain synchronized and corrected using a time synchronization module to obtain the corrected signal; The demodulated signal is obtained by performing an FFT transform on the correction signal using the FFT algorithm; wherein the expression of the demodulated signal is: ； In the formula, M is the number of oversampled signal points, m = 1, 2, ..., M. The oversampled signal is the index of the m-th time-domain sequence. The expression is: = , For oversampled time-domain signals, This is an oversampled interference signal. This is an oversampled noise signal.
7. The system according to claim 6, characterized in that, The decoding of the demodulated signal using the inverse PDF-FFT algorithm includes: The interference parameters are analyzed to obtain the inverse PDF weighting coefficients; wherein the expression for the inverse PDF weighting coefficients is: ； The demodulated signal is corrected using the inverse PDF weighting coefficients to obtain the corrected signal; wherein the expression of the corrected signal is: ； The correction signal is demapped based on the distance metric to obtain the demapped signal; The decoder decodes the demapped signal to obtain the decoded signal.
8. The system according to claim 1, characterized in that, The step of formatting and encapsulating the modulated signal using a 5G frame formatter includes: Constructing 5G frame structure parameters based on 5G communication protocols; Based on the 5G frame structure parameters, a synchronization signal insertion operation is performed on the modulated signal to obtain a complete signal; wherein, the synchronization signal includes: a primary synchronization signal, a secondary synchronization signal, a physical broadcast channel, and a demodulation reference signal; The complete signal is pre-coded by multiple antennas using a digital beamformer to obtain the encapsulated signal.
9. The system according to claim 5, characterized in that, The QAM modulation of the preprocessed signal based on Gray coding rules includes: The preprocessed signal is grouped into several group sequences based on a preset fixed length; Based on the Gray coding rules, several grouped sequences are transformed using Gray coding to obtain Gray-coded sequences; Establish a QAM constellation map coordinate system, and perform coordinate mapping on the Gray code sequence based on the QAM constellation map coordinate system to obtain the mapped coordinate sequence; The mapped coordinate sequence is synthesized into a complex symbol sequence to obtain the modulation symbol sequence.
10. A communication device, characterized in that, include: Communication unit and processing unit; The communication unit is used to generate the original signal; The processing unit is used to encode the original signal using an encoder to obtain an encoded signal; to preprocess the encoded signal using a PDF-FFT algorithm to obtain a preprocessed signal; and to perform OFDM modulation on the preprocessed signal using an OFDM modulator to obtain a modulated signal. The modulated signal is formatted and encapsulated using a 5G frame formatter to obtain an encapsulated signal; the encapsulated signal is demodulated using an OFDM demodulator to obtain a demodulated signal; and the demodulated signal is decoded using an inverse PDF-FFT algorithm to obtain a decoded signal.