Self-adaptive bandwidth anti-interference transmission method and system

Abstract

The invention provides a self-adaptive bandwidth anti-interference transmission method and system, and belongs to the technical field of wireless communication, and the method comprises the steps: receiving a radio frequency signal transmitted by transmitting end equipment; identifying the interference type in the radio frequency signal based on the difference of the interference in the frequency domain range; aiming at each path of subcarrier, calculating the noise type signal-to-noise ratio and the residual error type signal-to-noise ratio of the subcarrier in parallel; determining a fusion weight of the noise type signal-to-noise ratio and the residual error type signal-to-noise ratio based on the fast change degree; the fast change degree is a normalized ratio of the estimated frequency offset to the subcarrier interval; fusing the noise type signal-to-noise ratio and the residual error type signal-to-noise ratio based on the fusion weight to obtain a fused signal-to-noise ratio; and sending the interference type and the fused signal-to-noise ratio to the transmitting end equipment, so that the transmitting end equipment executes adaptive transmission mode switching based on the interference type and the fused signal-to-noise ratio. According to the invention, self-adaptive bandwidth anti-interference transmission in a high-speed dynamic and strong-interference environment is realized.

Description

Technical Field

[0001] This application belongs to the field of wireless communication technology, and more specifically, relates to an adaptive bandwidth anti-interference transmission method and system. Background Technology

[0002] With the continuous development of wireless communication technology, higher requirements are being placed on the robustness and spectral efficiency of communication systems in complex environments. Orthogonal Frequency Division Multiplexing (OFDM), as a high spectral efficiency modulation method, has been widely used in 4G / 5G cellular communications, satellite communications, and private network systems. However, in actual deployments, OFDM systems still face a series of technical challenges, especially in high-speed dynamic environments and under strong interference conditions, where the system's reliability and adaptability are significantly limited.

[0003] Modern communication systems generally employ broadband high-speed transmission mechanisms to meet the demands of large-capacity data. However, this mechanism is highly dependent on the stability of the wireless channel environment. Especially under dynamic channel conditions such as mobile carriers, high Doppler shift, and rapid fading, inter-carrier interference (ICI) is easily generated between OFDM subcarriers, leading to a sharp decline in receiver performance. Meanwhile, traditional channel quality indication (CQI) methods mostly rely on pilot signal-to-noise ratio estimation, failing to fully consider the impact of ICI on system performance. In highly dynamic environments, this can easily lead to CQI misjudgments, resulting in modulation selection errors, increased retransmissions, and other problems.

[0004] Therefore, there is an urgent need to explore a transmission method that can balance high-speed transmission and robust anti-interference capabilities within a unified communication framework, thereby improving the practicality and stability of OFDM systems in complex application scenarios. Summary of the Invention

[0005] The purpose of this application is to provide an adaptive bandwidth anti-interference transmission method and system to achieve both high-speed transmission and robust anti-interference capability in different environments.

[0006] A first aspect of this application provides an adaptive bandwidth anti-interference transmission method, applied to a receiving device, comprising:

[0007] Receive radio frequency signals sent by the transmitting device;

[0008] Identifying the type of interference in radio frequency signals based on differences in the frequency domain;

[0009] For each subcarrier in the radio frequency signal, the noise-type signal-to-noise ratio and residual signal-to-noise ratio of the subcarrier are calculated in parallel.

[0010] The fusion weights for noise-type signal-to-noise ratio and residual signal-to-noise ratio are determined based on rapid variability; rapid variability is the normalized ratio of frequency offset to subcarrier spacing estimated by the receiver equipment.

[0011] The noise-type signal-to-noise ratio and the residual signal-to-noise ratio are fused based on the fusion weight to obtain the fused signal-to-noise ratio;

[0012] The interference type and fused signal-to-noise ratio are sent to the transmitting device so that the transmitting device can perform adaptive transmission mode switching based on the interference type and fused signal-to-noise ratio.

[0013] In one embodiment, identifying the type of interference in a radio frequency signal based on the difference in interference across the frequency domain includes at least one of the following:

[0014] If the interference only affects adjacent subcarriers within a preset first number of ranges, resulting in a local power surge in the spectrum, then narrowband interference is determined to exist.

[0015] If the number of subcarriers affected by the interference reaches a preset second number range, but does not reach the full frequency band, then broadband interference is determined to exist.

[0016] If the energy levels of the zero-frequency subcarrier and its neighboring empty subcarriers rise synchronously and consistently with the full-band noise floor, and the power distribution variance is less than a preset variance threshold, then full-band interference is confirmed to exist.

[0017] In one embodiment, before mapping two synchronization headers to two subcarrier frequency bands in the first OFDM symbol at the beginning of the frame of the radio frequency signal, and before calculating the noise-type signal-to-noise ratio and residual signal-to-noise ratio of each subcarrier in the radio frequency signal in parallel, the method further includes:

[0018] Capture signals based on any synchronization head and perform time-frequency synchronization.

[0019] In one embodiment, determining the fusion weights for the noise-type signal-to-noise ratio and the residual signal-to-noise ratio based on rapid variation includes:

[0020] The rapid variation δ is calculated using the following formula;

[0021]

[0022] Where Δf is the estimated carrier frequency offset, Δf is the subcarrier spacing, and κ is the scaling factor;

[0023] The fusion weights for noise-type signal-to-noise ratio and residual signal-to-noise ratio are determined based on rapid variation.

[0024] In one embodiment, after obtaining the fused signal-to-noise ratio, the method further includes:

[0025] The synthesized signal-to-noise ratio γ is obtained by synthesizing the fused signal-to-noise ratio using the following formula. eff ;

[0026]

[0027] For the fusion signal-to-noise ratio, β is the fitting parameter determined based on the modulation and coding scheme, N is the total number of effective subcarriers participating in the synthesis, and c is the variance penalty coefficient;

[0028] The interference type and the fused signal-to-noise ratio are sent to the transmitting device, including:

[0029] The interference type and the combined signal-to-noise ratio are sent to the transmitting device.

[0030] In one embodiment, c takes the value 0.1-0.2.

[0031] In one embodiment, sending the interference type and the fused signal-to-noise ratio to the transmitting device includes:

[0032] The interference type and the fused signal-to-noise ratio are sent to the transmitting device through the feedback control channel embedded in the unified OFDM structure. The feedback control channel consists of four subcarriers with frequency-spaced distribution, and its data uses 1 / 7 code rate Turbo coding and 8 times retransmission.

[0033] A second aspect of this application provides an adaptive bandwidth anti-interference transmission system, comprising:

[0034] Transmitting equipment is used to send radio frequency signals to the receiving end;

[0035] The receiving device is used to execute any adaptive bandwidth anti-interference transmission method.

[0036] In one embodiment, the transmitting device is further used for,

[0037] A dual synchronization header sequence is inserted into the first OFDM symbol of the radio frequency signal and mapped onto different sets of subcarriers respectively.

[0038] In one embodiment, the transmitting device is further configured to perform adaptive transmission mode switching based on interference type and fused signal-to-noise ratio, further including:

[0039] To address both narrowband and wideband interference, a method is employed to skip the interfered subcarriers.

[0040] To counter full-band interference, activate spread spectrum mode;

[0041] Channel quality is determined based on the fused signal-to-noise ratio, and the corresponding signal modulation mode is selected based on the channel quality.

[0042] The beneficial effects of the adaptive bandwidth anti-interference transmission method and system provided in this application are as follows:

[0043] This application receives radio frequency (RF) signals transmitted by a transmitting device at a receiving end; identifies the interference type in the RF signal based on the difference in interference within the frequency domain; calculates the noise-type signal-to-noise ratio (SNR) and residual SNR of each subcarrier in parallel; determines the fusion weight of the noise-type SNR and residual SNR based on rapid variation, where rapid variation is the normalized ratio of the estimated frequency offset to the subcarrier spacing; fuses the noise-type SNR and residual SNR based on the fusion weight to obtain a fused SNR; and sends the interference type and the fused SNR to the transmitting device, enabling the transmitting device to perform adaptive transmission mode switching based on the interference type and the fused SNR. This application achieves adaptive bandwidth anti-interference transmission in high-speed dynamic and strong interference environments, enabling the communication link to maintain an adaptive balance between high-speed transmission and anti-interference robustness. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 This is a flowchart illustrating an embodiment of the adaptive bandwidth anti-interference transmission method provided in this application.

[0046] Figure 2 A flowchart of transmitter and receiver processing provided in an embodiment of this application;

[0047] Figure 3 A flowchart of an adaptive broadband anti-interference transmission method provided in an embodiment of this application;

[0048] Figure 4 This is a time-frequency domain resource mapping diagram provided in an embodiment of this application;

[0049] Figure 5 This is a schematic block diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0050] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0051] To make the objectives, technical solutions, and advantages of this application clearer, the following description will be provided in conjunction with the accompanying drawings and specific embodiments.

[0052] The core idea of ​​this application is to form a complete closed-loop control under a unified waveform architecture by detecting the interference type and channel quality at the receiver, feeding back the detection results through the feedback control channel (CCH), and adaptively adjusting at the transmitter. This achieves a balance between high-speed transmission and strong robust anti-interference capability, enabling the system to maintain stable and efficient transmission performance under different environments.

[0053] Please refer to Figures 1-4 This application provides an adaptive bandwidth anti-interference transmission method in one embodiment. This method can be executed by a receiving device. In one embodiment, such as... Figure 2 As shown, the transmitting device is an OFDM transmitter, and the receiving device is an OFDM receiver. The method includes:

[0054] S101: Receives radio frequency signals sent by the transmitting device.

[0055] In one embodiment, a synchronization header is added to both subcarrier bands in the first orthogonal frequency division multiplexing (OFDM) symbol of the signal.

[0056] like Figure 4 As shown, this application enhances synchronization robustness through a dual-synchronization header design in the first symbol. Specifically, in the first OFDM symbol, two independent synchronization sequences are mapped simultaneously on different subcarrier sets, and their frequency domain positions, bandwidth occupancy, and energy allocation can be flexibly configured. The receiver can perform frequency conversion, filtering, and independent correlation detection on the two sub-bands respectively, obtaining two timing and frequency offset estimation results. The final synchronization parameters are then determined through consistency judgment and weighted fusion. This ensures that even if one sequence is suppressed by interference, the other can still maintain reliable detection, thus avoiding the risk of link interruption due to single-point failure. Simultaneously, this structure allows for dynamic power enhancement or bandwidth adjustment of a single path under strong interference conditions, and a return to low-overhead mode after environmental recovery, achieving a balance between synchronization performance and system efficiency.

[0057] S102: Identify the type of interference in radio frequency signals based on the difference in interference across the frequency domain.

[0058] OFDM systems often face various forms of electromagnetic interference in practical applications, including narrowband interference, broadband interference, and full-band interference. The former two typically exhibit obvious local energy anomalies in the frequency domain, which can be identified and suppressed by methods such as spectrum detection and subcarrier puncturing. However, full-band interference, due to its high overlap with the signal's frequency domain coverage and its similar spectral structure to communication signals, makes it difficult for traditional interference detection and discrimination methods to accurately distinguish the boundary between the signal and the interference, becoming one of the challenges in current OFDM anti-interference research.

[0059] In addressing these challenges, some systems have attempted to introduce independent anti-interference modes, such as frequency hopping, spread spectrum, and low-speed strong error correction codes, to enhance communication robustness. However, these solutions often require additional independent waveform paths or special hardware structures, significantly increasing the overall system complexity and resource overhead. This makes it difficult to achieve resource sharing and unified management with the original high-speed transmission mode, and also places high demands on equipment size, power consumption, and real-time performance, hindering their widespread application in communication systems with multiple modes or limited resources.

[0060] To address the aforementioned issues, the receiving end of this application first down-converts the received radio frequency signal to obtain baseband, then converts it into a digital sequence via an ADC, and subsequently identifies the type of interference in the radio frequency signal. In one embodiment, identifying the type of interference in the radio frequency signal based on the difference in the frequency domain range includes at least one of the following:

[0061] 1) If the interference only acts on adjacent subcarriers within a preset first number range, resulting in a local power surge in the spectrum, then narrowband interference is determined to exist;

[0062] 2) If the number of subcarriers affected by the interference reaches the preset second number range, but does not reach the full frequency band, then broadband interference is determined to exist;

[0063] 3) If the energy levels of the zero-frequency subcarrier and its neighboring empty subcarriers rise synchronously and uniformly with the full-band noise floor, and the power distribution variance is less than the preset variance threshold, then full-band interference is determined to exist.

[0064] This application utilizes the differences in interference coverage in the frequency domain to achieve classification and identification. When interference only affects a small number of adjacent subcarriers, creating a local power surge in the spectrum, it can be identified as narrowband interference. When the interference range further expands, causing the noise floor of most subcarriers within the frequency band to rise overall but not yet covering the entire band, it is identified as broadband interference. For full-band interference, since it appears as almost uniform coverage across the entire effective bandwidth in the frequency domain, it is often difficult to distinguish from low signal-to-noise ratio scenarios by power spectrum observation alone. Therefore, this application utilizes an inherent characteristic of OFDM: zero-frequency subcarriers and their adjacent empty subcarrier sets do not carry data signals, and their energy level should be close to pure noise under normal circumstances. By monitoring these zero-frequency and empty subcarriers, the receiver finds that their energy level rises synchronously and consistently with the noise floor of the entire band, and the power distribution variance is extremely small, indicating that the interference is not local or broadband coverage, but rather acts uniformly across the entire band. At this point, it can be accurately identified as full-band interference. Through this design, the system can not only distinguish between narrowband, wideband, and full-band interference, but also fully utilize the inherent characteristic of zero-frequency and empty subcarriers in OFDM structures that do not transmit data, making interference detection more robust and reliable. Through the aforementioned interference identification steps, the receiver can not only determine whether the system is under interference, but also identify the specific type of interference.

[0065] After identifying the type of interference, this application can output the interference status and frequency domain mask information to guide the transmitter to perform resource shielding and power concentration, thereby achieving targeted anti-interference processing and avoiding mode switching delays or global rate degradation caused by misjudgment.

[0066] S103: For each subcarrier in the radio frequency signal, calculate the noise-type signal-to-noise ratio and residual signal-to-noise ratio of the subcarrier in parallel.

[0067] After interference detection, the receiver performs down-conversion, bandpass filtering, and independent correlation detection on the two synchronization headers located in the two subcarrier sets on the first OFDM symbol. Let r be the baseband sequence after filtering the i-th ∈ {1,2}th path. i [n], whose local template is s i [n], where the local sequence length is N. s Then its discrete-time correlation metric is defined as:

[0068]

[0069] in(·) * Indicates conjugate.

[0070] For each path, firstly by The positions of relevant peaks are given, and the peak-to-noise ratio (PNR) is calculated as a decision statistic. To obtain robust noise, a guard window is used to exclude the neighborhood of the main peak, and the noise estimation window is set accordingly. Given that G1 is the length of the protective window and G2 is the length of the noise window, the estimated noise power is:

[0071]

[0072] Based on the peak value and noise power, the peak value and noise peak-to-noise ratio can be obtained:

[0073]

[0074] If any condition satisfies PNR i ≥γ th (γ th If the threshold is set to a preset value, then the capture is considered successful, meaning that the radio frequency signal has been captured.

[0075] Regarding channel quality assessment, this application proposes an improved CQI calculation method suitable for high-dynamic scenarios. Unlike traditional methods that rely solely on pilot signal-to-noise ratio, this application employs a dual-path estimation approach: one path estimates noise power based on empty subcarriers or guard bands to obtain a noise-based SNR that reflects the background environment; the other path, based on the equalization residual or error vector magnitude, obtains a residual SNR that includes rapidly changing effects such as inter-carrier interference and phase jitter, also known as a post-decision SNR.

[0076] In one embodiment, time-frequency synchronization is performed after the signal is captured based on any synchronization header. After synchronization is completed, the receiver removes the CP and restores the frequency domain via FFT, then performs channel estimation on the pilot subcarrier.

[0077]

[0078] Y k The received frequency domain symbol on the k-th subcarrier at the receiver is X. k The known pilot symbol on the k-th subcarrier from the transmitter, where k is the subcarrier index.

[0079] Then, it is extended to the data channel through interpolation, and equalization compensation and phase noise correction are performed. At this time, the receiver calculates the dual-path SNR in parallel, and calculates the noise-type signal-to-noise ratio γ for one path based on the empty subcarrier energy. noise,k :

[0080]

[0081] Another approach is to perform channel quality estimation based on the equalization residuals. The receiver obtains the following symbols after channel equalization:

[0082]

[0083] Where Y k In order to receive signals, To estimate the channel, the decision function Q() is then used to map it to the nearest constellation point:

[0084]

[0085] And obtain the residual vector:

[0086]

[0087] residual vector z k This reflects the deviation between the equalized symbol and the ideal constellation point, encompassing rapidly changing effects such as noise, interference, ICI (inter-carrier interference), and phase noise. Based on this, a residual-type signal-to-noise ratio metric γ can be constructed. evm，k :

[0088]

[0089] S104: Determine the fusion weights of noise-type signal-to-noise ratio and residual signal-to-noise ratio based on rapid variability; rapid variability is the normalized ratio of frequency offset to subcarrier spacing estimated by the receiver equipment.

[0090] To account for the differences in channel quality estimation under low-dynamic and high-dynamic environments, this application proposes an adaptive weighting method based on rapid variability δ. Rapid variability is defined as the normalized ratio of the receiver-estimated frequency offset to the subcarrier spacing:

[0091]

[0092] Where Δf is the carrier frequency offset estimated by the receiver, Δf is the subcarrier spacing, and κ is the scaling factor. κ is used to adjust the sensitivity after frequency offset normalization: when κ = 1, the frequency offset equals the subcarrier spacing, indicating a high dynamic environment; when κ > 1, the system is more sensitive to frequency offset and more easily identifies high dynamics; when κ < 1, the system's judgment is more conservative, suitable for scenarios with large frequency offset estimates. In practical applications, κ can be determined through simulation and actual measurement.

[0093] The fusion weight α = f(δ) is defined based on δ, and its value increases monotonically with δ. It is used to control the fusion ratio of the two types of signal-to-noise ratio estimations. The function f(δ) can be flexibly designed according to the scenario, and may include, for example:

[0094] (1) Linear function: α = δ, simple to implement;

[0095] (2) Piecewise function: fixed at 0 under low dynamics, fixed at 1 under high dynamics, with a smooth transition in the middle interval;

[0096] S105: Based on the fusion weight, the noise-type signal-to-noise ratio and the residual-type signal-to-noise ratio are fused to obtain the fused signal-to-noise ratio.

[0097] The fused signal-to-noise ratio for each subcarrier is:

[0098]

[0099] By adjusting α=f(δ), the system can rely on noise-based estimation in low dynamics and residual-based estimation in high dynamics, thereby achieving adaptive balance.

[0100] In one embodiment, after obtaining the fused subcarrier signal-to-noise ratio, the system further employs an improved exponentially effective SNR mapping (EESM) method for synthesis, and introduces a variance correction term. Specifically, the fused signal-to-noise ratio is synthesized using the following formula to obtain the synthesized signal-to-noise ratio γ. eff ;

[0101]

[0102] To achieve a fused signal-to-noise ratio (SNR), β is a fitting parameter (also known as a compression factor) determined based on the modulation and coding scheme, N is the total number of effective subcarriers participating in the synthesis, and c is the variance penalty coefficient. β is used to adjust the curve fitting effect under different modulation and coding schemes. β is a fitting parameter, and its value can be obtained through simulation or testing for different modulation and coding schemes. For low-order modulation, β is generally 1–3; for high-order modulation, β is generally 4–8. This invention does not limit the specific value of β and can optimize it through link performance fitting. c is the variance penalty coefficient, used to suppress overly optimistic estimations caused by excessively large discrepancies in the subcarrier SNR. Its value can be determined through link simulation or experimental fitting, generally between 0.1 and 1.0, preferably 0.1–0.2. This invention does not limit the specific value of c and can adaptively optimize it according to the system's target performance.

[0103] This application introduces "rapid change degree" as a quantitative indicator of channel dynamics, dynamically adjusts the fusion weights of the two types of estimates based on the rapid change degree, generates an equivalent signal-to-noise ratio that more closely reflects actual performance, and adds fluctuation correction and confidence lower bound control during synthesis, thereby ensuring that the CQI is more robust under critical conditions. This significantly improves the accuracy and stability in high-dynamic scenarios such as high-speed trains, low-orbit satellites, and drones.

[0104] S106: Send the interference type and fused signal-to-noise ratio to the transmitting device so that the transmitting device can perform adaptive transmission mode switching based on the interference type and fused signal-to-noise ratio.

[0105] In one embodiment, sending the interference type and the fused signal-to-noise ratio to the transmitting device includes:

[0106] The interference type and the fused signal-to-noise ratio are sent to the transmitting device through the feedback control channel embedded in the unified OFDM structure. The feedback control channel consists of four subcarriers with frequency-spaced distribution, and its data uses 1 / 7 code rate Turbo coding and 8 times retransmission.

[0107] In one embodiment, if the fused signal-to-noise ratio is synthesized, the interference type and the synthesized signal-to-noise ratio are sent to the transmitting device.

[0108] In one embodiment, after receiving feedback information, the transmitter performs adaptive mode switching based on the obtained channel state and interference type: when the feedback indicates good channel conditions, high-speed broadband transmission is maintained to ensure maximum throughput; the transmitter adopts different anti-interference measures according to the specific interference type, such as skipping disturbed subcarriers for narrowband and broadband interference, and enabling spread spectrum mode for full-band interference. Resource scheduling is completed by a unified mapping module, and subcarrier allocation, power control, and synchronization head energy can all be parameterized and adjusted as needed. Through the above-mentioned closed-loop control of "detection-evaluation-feedback-adjustment", the system achieves collaboration between the receiver and transmitter under a unified OFDM framework, enabling the communication link to maintain an adaptive balance between high-speed transmission and anti-interference robustness.

[0109] This application also provides an adaptive bandwidth anti-interference transmission system, including:

[0110] Transmitting equipment is used to send radio frequency signals to the receiving end;

[0111] The receiving device is used to execute any adaptive bandwidth anti-interference transmission method.

[0112] In one embodiment, the transmitting device is further configured to insert a dual synchronization header sequence into the first OFDM symbol of the radio frequency signal and map them onto different subcarrier sets respectively. The corresponding receiving device performs parallel correlation detection on the two sequences after reception, and both can independently perform timing and frequency offset estimation, thus providing dual redundancy protection for synchronization. When one sequence is suppressed by interference, the other can still maintain a high detection gain, effectively avoiding the risk of synchronization interruption caused by single-point failure.

[0113] The transmitting equipment first performs channel coding (such as Turbo or LDPC) on the service bitstream to increase redundancy and enhance error resilience. Then, it uses interleaving to break up burst errors and scrambling to avoid peak-to-average power ratio (PAPR) issues caused by prolonged identical bits. The bitstream then enters the modulation module, which maps it to complex symbols (such as BPSK, QPSK, or 16QAM) and distributes them to various subcarrier positions according to rules. Simultaneously, pilot symbols are inserted on some subcarriers for the receiver to estimate the channel and for synchronization. After completing symbol mapping in the frequency domain, the system transforms the frequency-domain symbols to the time domain using IFFT, then adds a cyclic prefix (CP) to cancel multipath interference. Peak clipping or weighting techniques can be combined to reduce PAPR. In terms of frame structure, the transmitting equipment inserts a dual synchronization header sequence in the first OFDM symbol. This synchronization header consists of two independent sequences, mapped to different subcarrier sets and transmitted simultaneously in the frequency domain.

[0114] In one embodiment, the transmitting device is further configured to perform adaptive transmission mode switching based on interference type and fused signal-to-noise ratio, further including:

[0115] To address both narrowband and wideband interference, a method is employed to skip the interfered subcarriers.

[0116] To counter full-band interference, activate spread spectrum mode;

[0117] Channel quality is determined based on the fused signal-to-noise ratio, and the corresponding signal modulation mode is selected based on the channel quality.

[0118] The beneficial effects of the adaptive bandwidth anti-interference transmission method and system provided in this application are as follows:

[0119] This application receives radio frequency (RF) signals transmitted by a transmitting device at a receiving end; identifies the interference type in the RF signal based on the difference in interference within the frequency domain; calculates the noise-type signal-to-noise ratio (SNR) and residual SNR of each subcarrier in parallel; determines the fusion weight of the noise-type SNR and residual SNR based on rapid variation, where rapid variation is the normalized ratio of the estimated frequency offset to the subcarrier spacing; fuses the noise-type SNR and residual SNR based on the fusion weight to obtain a fused SNR; and sends the interference type and the fused SNR to the transmitting device, enabling the transmitting device to perform adaptive transmission mode switching based on the interference type and the fused SNR. This application achieves adaptive bandwidth anti-interference transmission in high-speed dynamic and strong interference environments, enabling the communication link to maintain an adaptive balance between high-speed transmission and anti-interference robustness.

[0120] After receiving feedback information, the transmitter performs adaptive mode switching based on the obtained channel status and interference type: when the feedback indicates good channel conditions, it maintains high-speed broadband transmission to ensure maximum throughput; the transmitter adopts different anti-interference measures according to the specific interference type, such as skipping disturbed subcarriers for narrowband and broadband interference, and enabling spread spectrum mode for full-band interference. Resource scheduling is completed by a unified mapping module, and subcarrier allocation, power control, and synchronization head energy can all be parameterized and adjusted as needed. Through the above closed-loop control of "detection-evaluation-feedback-adjustment", the system achieves collaboration between the receiver and transmitter under a unified OFDM framework, enabling the communication link to maintain an adaptive balance between high-speed transmission and anti-interference robustness.

[0121] See Figure 5 , Figure 5 This is a schematic block diagram of an electronic device provided according to an embodiment of this application. Figure 5 The electronic device 300 shown in this embodiment may include one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memories 304 store computer programs, including program instructions. The processors 301 execute the program instructions stored in the memories 304.

[0122] It should be understood that, in the embodiments of this application, the processor 301 may be a central processing unit (CPU), but it may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0123] Input device 302 may include a touchpad, a fingerprint sensor (for collecting the user's fingerprint information and fingerprint orientation information), a microphone, etc., and output device 303 may include a display (LCD, etc.), a speaker, etc.

[0124] The memory 304 may include read-only memory and random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store device type information.

[0125] In specific implementations, the processor 301, input device 302, and output device 303 described in the embodiments of this application can execute the implementation methods described in the embodiments of this application, or they can execute the implementation methods of the electronic devices described in the embodiments of this application, which will not be repeated here.

[0126] In another embodiment of this application, a computer-readable storage medium is provided. This computer-readable storage medium stores a computer program, which includes program instructions. When executed by a processor, the program instructions implement all or part of the processes in the methods described above. Alternatively, the computer program can instruct related hardware to implement these processes. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include any entity or device capable of carrying computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0127] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the foregoing embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device. Furthermore, the computer-readable storage medium can include both internal and external storage units of the electronic device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0128] This application provides a computer program product, which includes computer-executable instructions or a computer program. The computer-executable instructions or computer program are stored in a computer-readable storage medium. The processor of an electronic device reads the computer-executable instructions from the computer-readable storage medium and executes the computer-executable instructions, causing the electronic device to perform the method described in this application embodiment.

[0129] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software 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 implementations should not be considered beyond the scope of this application.

[0130] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the electronic devices and units described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0131] In the several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces or units, or it may be an electrical, mechanical, or other form of connection.

[0132] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments of this application, depending on actual needs.

[0133] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0134] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. An adaptive bandwidth anti-interference transmission method, characterized in that, The method is applied to a receiving device and includes: Receive radio frequency signals sent by the transmitting device; The type of interference in the radio frequency signal is identified based on the difference in the frequency domain range of the interference. For each subcarrier in the radio frequency signal, the noise-type signal-to-noise ratio and the residual signal-to-noise ratio of the subcarrier are calculated in parallel. The fusion weights of the noise-type signal-to-noise ratio and the residual signal-to-noise ratio are determined based on the rapid variability; the rapid variability is the normalized ratio of frequency offset to subcarrier spacing estimated by the receiving device. The noise-type signal-to-noise ratio and the residual signal-to-noise ratio are fused based on the fusion weights to obtain the fused signal-to-noise ratio; The interference type and the fused signal-to-noise ratio are sent to the transmitting device so that the transmitting device can perform adaptive transmission mode switching based on the interference type and the fused signal-to-noise ratio.

2. The method as described in claim 1, characterized in that, The method of identifying the type of interference in the radio frequency signal based on the difference of interference in the frequency domain includes at least one of the following: If the interference only affects adjacent subcarriers within a preset first number of ranges, resulting in a local power surge in the spectrum, then narrowband interference is determined to exist. If the number of subcarriers affected by the interference reaches a preset second number range, but does not reach the full frequency band, then broadband interference is determined to exist. If the energy levels of the zero-frequency subcarrier and its neighboring empty subcarriers rise synchronously and consistently with the full-band noise floor, and the power distribution variance is less than a preset variance threshold, then full-band interference is confirmed to exist.

3. The method as described in claim 1, characterized in that, In the first OFDM symbol at the beginning of the frame of the radio frequency signal, two synchronization headers are mapped to two subcarrier frequency bands in the frequency domain. Before calculating the noise-mode signal-to-noise ratio and residual signal-to-noise ratio of each subcarrier in the radio frequency signal in parallel, the method further includes: Capture signals based on any synchronization head and perform time-frequency synchronization.

4. The method as described in claim 1, characterized in that, The fusion weights for determining the noise-type signal-to-noise ratio and the residual signal-to-noise ratio based on rapid variation include: The rapid variation δ is calculated using the following formula; Where Δf is the estimated carrier frequency offset, Δf is the subcarrier spacing, and κ is the scaling factor; The fusion weights of the noise-type signal-to-noise ratio and the residual signal-to-noise ratio are determined based on the rapid variation.

5. The method as described in claim 1, characterized in that, After obtaining the fused signal-to-noise ratio, the method further includes: The fused signal-to-noise ratio (SNR) is synthesized using the following formula to obtain the synthesized SNR γ. eff ; For the fusion signal-to-noise ratio, β is the fitting parameter determined based on the modulation and coding scheme, N is the total number of effective subcarriers participating in the synthesis, and c is the variance penalty coefficient; Sending the interference type and the fused signal-to-noise ratio to the transmitting device includes: The interference type and the synthesized signal-to-noise ratio are sent to the transmitting device.

6. The method as described in claim 5, characterized in that, The value of c is between 0.1 and 0.

2.

7. The method as described in claim 1, characterized in that, Sending the interference type and the fused signal-to-noise ratio to the transmitting device includes: The interference type and the fused signal-to-noise ratio are sent to the transmitting device through a feedback control channel embedded in the unified OFDM structure. The feedback control channel consists of four subcarriers with frequency-spaced distribution, and its data uses 1 / 7 code rate Turbo coding and 8 times retransmission.

8. An adaptive bandwidth anti-interference transmission system, characterized in that, include: Transmitting equipment is used to send radio frequency signals to the receiving end; A receiving device for performing the method according to any one of claims 1 to 7.

9. The system as described in claim 8, characterized in that, The transmitting device is also used for, A dual synchronization header sequence is inserted into the first OFDM symbol of the radio frequency signal and mapped onto different subcarrier sets respectively.

10. The system as described in claim 8, characterized in that, The transmitting device is further configured to perform adaptive transmission mode switching based on interference type and fused signal-to-noise ratio, and further includes: To address both narrowband and wideband interference, a method is employed to skip the interfered subcarriers. To counter full-band interference, activate spread spectrum mode; The channel quality is determined based on the fused signal-to-noise ratio, and the corresponding signal modulation mode is selected based on the channel quality.

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