62 results about "Residual interference" patented technology

The invention discloses a method and a system for suppressing electromagnetic interference in multi-modal fusion touch interaction. The method comprises the following steps of: acquiring signal data, extracting signal features to obtain a first signal data set, and extracting interference source features to obtain interference source feature data; performing spectrum conflict analysis according to the interference source characteristic data to obtain a conflict frequency range; when the conflict frequency range exceeds a preset frequency threshold value, performing dynamic frequency selection and sensor parameter adjustment to obtain a second signal data set, and performing intensity detection to obtain residual interference intensity; when the residual interference intensity is higher than a preset intensity threshold value, carrying out dynamic encryption operation to obtain an encrypted signal flow, and carrying out key dynamic updating and optimization to obtain an anti-interference touch signal flow; and according to the anti-interference touch signal flow, performing interference suppression effect quantification to obtain a final performance evaluation result of electromagnetic interference suppression. The method can realize real-time high-reliability electromagnetic interference suppression in a complex human-computer interaction scene.

The invention discloses a data full-link dynamic anti-interference optimization transmission method. The method comprises the following steps: S1, constructing a data transmission system architecture comprising a sending end, a transmission link and a receiving end; the sending end detects environment disturbance characteristics in real time, and the receiving end collects receiving signals containing background noise and link distortion; s2, designing a self-adaptive waveform coding strategy at a sending end; s3, performing active channel compensation on a transmission link; channel characteristics are extracted, and channel interference is counteracted in real time through pre-distortion waveform adjustment; s4, deploying an intelligent noise reduction decoding algorithm at a receiving end; a depth feature separation network is constructed, and link residual interference is filtered out by analyzing the time-frequency domain difference between a target signal and a noise component. Through a three-level anti-interference mechanism of adaptive coding of the sending end, active compensation of a transmission link and intelligent noise reduction of the receiving end, the problem that the transmission reliability of signals is reduced due to environment disturbance, channel distortion and noise pollution in a complex environment is solved.

The invention relates to the technical field of electronic component parameter optimization, in particular to an electronic component parameter optimization method and system, and the method comprises the following steps: collecting high-frequency measurement data of an electronic component; performing preliminary interference separation on the high-frequency measurement data to identify and suppress continuous waveform distortion caused by impedance mismatching of the transmission line and accidental transient electromagnetic pulses caused by reduction of shielding capability of the transmission line, and obtaining data after preliminary interference separation; performing purity evaluation on the data after the preliminary interference separation to quantify the degree of residual interference in the data after the preliminary interference separation to obtain a purity evaluation result; and dynamically adjusting an optimization strategy and a data weight of an electronic component parameter optimization program according to a purity evaluation result so as to carry out electronic component parameter optimization. The accuracy and efficiency of parameter optimization of the electronic component can be improved.

The invention discloses an anti-interference method suitable for a satellite navigation signal, and belongs to the field of satellite navigation signal anti-interference, and the method comprises the steps: collecting multi-channel satellite navigation signal data through a receiver array, processing an initial signal through a self-adaptive filtering algorithm to preliminarily reduce noise interference, and obtaining a preliminarily purified signal; extracting a spatial correlation matrix according to the preliminary purification signal, decomposing the matrix by adopting a principal component analysis algorithm to identify dominant spatial features, and determining an interference direction vector; obtaining the spectrum distribution of the direction suppression signal, further separating the spectrum overlapping part by adopting a principal component analysis algorithm, and judging the residual interference residue; through fusion of the direction suppression signal and the residual interference residue, an adaptive filtering algorithm is adopted to iteratively optimize the weight so as to enhance the navigation signal strength, and an optimized enhanced signal is obtained; and calculating a positioning parameter according to the optimized enhanced signal, judging whether the parameter stability meets a preset threshold value, and obtaining a final stable signal.

The invention provides an intelligent voice control system and a voice enhancement method in a reverberation environment. The method comprises the following steps: acquiring an initial voice signal in the reverberation environment; determining reverberation energy distribution in each frequency band according to the time-frequency spectrogram of the initial voice signal and the frequency response attenuation curve in each frequency band, and determining reverberation suppression gain of the initial voice signal in a time-frequency domain through all reverberation energy distribution; performing reverberation suppression on the initial voice signal according to the reverberation suppression gain to obtain a voice signal after reverberation suppression; performing time-frequency mask estimation on the initial voice signal to obtain a time-frequency mask of the initial voice signal, and determining residual interference energy of each time-frequency unit of the initial voice signal in a time-frequency domain according to the time-frequency mask and an interference covariance matrix of the target sound source; and performing harmonic enhancement on the voice signal after reverberation suppression through all residual interference energy to obtain a voice enhanced signal. By adopting the scheme of the invention, the acoustic crosstalk caused by reverberation can be suppressed.

The invention relates to the field of speech analysis, and discloses a natural sound interference stripping algorithm and an application thereof in noise monitoring, which are used for efficiently and accurately stripping interference components in a target speech signal in a complex natural sound environment. Comprising the following steps: synchronously acquiring an environmental sound signal by using a spatially distributed microphone array, generating an original mixed voice signal with spatial coherence, performing real-time fractional order differential processing, strengthening resonance characteristics, realizing spatial separation of a voice guided wave mode and an interference radiation mode through real-time phase analysis, and extracting an interference radiation mode component. And reconstructing a time domain interference waveform, and outputting a pure target voice signal according to the original mixed voice signal and the reconstructed interference waveform. The system has the functions of residual interference sound energy recovery, equipment vibration suppression, environment sudden change monitoring, system resetting, bimodal output and the like, the stability, reliability and practicability of the system are effectively improved, and pure voice can be accurately extracted in a complex environment.

The invention relates to a joint beam forming and power control method in a communication and inductance fusion federated learning system, which comprises the following steps of: constructing a joint optimization problem which takes minimization of residual interference power of a base station receiving end as an optimization target and takes a beam forming vector and a power control factor set as optimization variables; a deep reinforcement learning framework is adopted to solve the joint optimization problem, and an optimal beam forming vector and an optimal power control factor set matched with the current channel state and the sensing task are dynamically output; and sending out a control instruction according to the optimal beam forming vector and the optimal power control factor set so as to perform cooperative control on a beam former of the base station and the transmitting power of each edge device. Beam forming and user power are jointly optimized, and resources are adaptively allocated by using deep reinforcement learning, so that sensing performance and power constraints are ensured, federated learning aggregation errors are remarkably reduced, and multi-device cooperative training efficiency and spectrum utilization rate are improved.

The invention provides an RS-485 bus passive protection device for on-line monitoring equipment of a transformer substation. The RS-485 bus passive protection device comprises a primary protection module, a primary filtering module, a residual voltage release module and a residual interference elimination module which are sequentially connected in series along an RS-485 bus signal path, all the modules are matched in sequence to provide graded protection for the RS-485 bus, the primary protection module is used for discharging high-voltage impact current generated by lightning stroke and surge, the primary filtering module is used for attenuating pulse group interference signals in the bus, the residual voltage release module is used for carrying out secondary clamping on residual high voltage and slowly releasing residual charges, and the secondary filtering module is used for carrying out secondary filtering on the residual high voltage. And the residual interference elimination module is used for filtering residual interference signals so as to ensure normal communication. The problem that high-voltage pulses such as field surges and lightning strokes break down an RS485 interface of online monitoring equipment is solved, meanwhile, interference of interference signals such as pulse groups and conducted disturbance on a bus is effectively solved, and the equipment can safely and reliably work in a complex electromagnetic environment.

The invention discloses an active eliminating type filtering method for cross interference of a charging module and a related device, which are used for improving the electromagnetic compatibility and the stability of a charging system and reducing the influence of the cross interference. The method comprises the following steps: monitoring a charging module output frequency spectrum, and decoupling the frequency spectrum to obtain interference frequency and interference intensity; constructing a digital twinborn model based on the interference frequency and the interference intensity; extracting working state characteristics of the target module, and analyzing by combining the working state characteristics and the expected coupling path to obtain a coupling strength coefficient; according to the digital twin model, generating an expected coupling interference signal generated by the target module; generating an anti-vector signal according to the expected coupling interference signal; injecting the anti-vector signal into a pulse width modulation carrier of the target module to generate an actual driving signal; monitoring a residual interference spectrum output by the target module, and calculating a deviation value between the residual interference spectrum and a preset threshold value; and according to the deviation value, parasitic parameters and anti-vector signals of the digital twin model are updated.

The application discloses a self-interference suppression method based on wideband digital beam forming, which comprises the following steps: S1. After a transmitter performs digital-to-analog conversion on a desired transmission signal through transmission beam forming, the signal is processed through a radio frequency transmitting device and then transmitted to a transmitting antenna array for transmission; S2. A receiver receives the signal from the transmitting end through the receiving antenna array, processes the signal through a radio frequency receiving device, performs analog-to-digital conversion, completes receiving beam forming, and gives a residual interference representation of the receiver; and S3. Coefficients of the transmitting beam forming and the receiving beam forming are designed, the self-interference coupled to the receiving array is suppressed while ensuring normal transmission of the transmitting array and normal reception of the receiving array, and the desired signal is normally demodulated. The application utilizes the symmetry characteristics of the coupled self-interference channel, alternately iteratively optimizes the transmitting and receiving beam forming coefficients, and minimizes the residual interference and noise power coupled to the receiver.

The invention belongs to the field of equipment radio frequency communication, and discloses an AR glasses radio frequency interference suppression method and system, and the method comprises the steps: collecting the characteristic data of a multi-band radio frequency signal; constructing a joint channel model, and solving joint channel model parameters based on the characteristic data; based on the joint channel model, generating an anti-phase counteracting signal, and inputting the anti-phase counteracting signal into a receiving link to perform interference pre-elimination; analog-to-digital conversion sampling is carried out on the signal after interference pre-elimination, and residual interference compensation is carried out through an adaptive filter; and adaptively adjusting the joint channel model parameters according to the change of the received signal, and carrying out real-time interference suppression on the multi-band radio frequency signal. According to the invention, through dual-band concurrent monitoring, nonlinear coupling interference modeling and cooperative suppression of an analog domain and a digital domain, the problems of dynamic characteristics and nonlinearity of cross-band interference are effectively solved.

The invention discloses a self-adaptive subspace projection suppression method based on optical pump magnetometer external noise, and belongs to the technical field of neural magnetic imaging (MEG) signal processing.The method comprises the steps that brain magnetic signals are collected through a wearable optical pump magnetometer array and preprocessed, and a signal and noise subspace decomposition model is established; integrating a model-driven noise modeling method and a data-driven noise modeling method, and constructing a noise subspace base vector; constructing a signal subspace basis vector in combination with a guide field matrix and event correlation analysis; identifying residual noise components based on event correlation analysis, and perfecting noise subspace modeling; signal noise separation is realized by adopting a hierarchical projection strategy; and analyzing the time correlation of internal and external space signals, and constructing a time projection matrix to remove residual interference to obtain a clean MEG signal. According to the invention, various types of external noise interferences can be effectively suppressed, the signal-to-noise ratio and the reliability of brain magnetic signals are remarkably improved, and the method is particularly suitable for practical application of a wearable optical pump magnetometer system.

The invention discloses a fractional parameter estimation method of an ISAC system based on OTFS, and belongs to the technical field of wireless communication, and the method comprises the steps: carrying out the time delay-Doppler domain channel estimation of a radar receiving signal, and building the fractional time delay and fractional Doppler initial parameter estimation through dictionary matrix atom correlation; the GDR algorithm is refined through gradient descent, and parameters are iteratively optimized by maximizing the atom correlation function of the correlation dictionary; in iteration, multipath parameters are separated by a path decoupling interference elimination PDIC mechanism, and residual interference is eliminated by a residual error minimization interference elimination RMIC mechanism; after the residual error reaches a convergence condition, outputting a high-precision parameter estimation result; according to the fractional parameter estimation method of the ISAC system based on the OTFS, the problems that a traditional method is difficult to accurately estimate fractional delay and fractional Doppler, the multi-path interference influence is large, and the calculation complexity is high are solved, and high-precision parameter estimation, high anti-interference capacity and efficient resource utilization are achieved.

This invention relates to a method for separating vibration and flow noise in the underwater noise spectrum of a ship propeller, comprising: constructing a "frequency label" for vibration noise by fabricating two propeller models with identical geometry but significantly different material properties; a dual-model difference stage: calculating the absolute difference in the noise spectra of the two models and generating a vibration noise mask based on modal analysis results; a blind source separation stage: for the residual signal after difference, using an improved Independent Component Analysis (ICA) algorithm to further separate residual interference by utilizing the statistical independence of vibration noise; introducing a convolution kernel function in this stage to enhance the algorithm's adaptability to time-delayed signals; and introducing Cepstrum analysis technology to perform phase correction on the complex spectrum of the replacement frequency band. This method solves the significant shortcomings of existing noise control technologies in the coupling separation of vibration and flow noise, enabling the separation of the components of underwater noise from ship propellers, obtaining the noise components caused by blade vibration and the flow noise components separately.

The application discloses a scalable multi-array towed electromagnetic coil structure and a working method, and belongs to the field of towed transient electromagnetic detection equipment. The structure adopts a multi-array modular array design, one transmitting array element and two receiving array elements on the two sides of the transmitting array element form a modular working unit, and the compact connection of the array is realized by the common use of the receiving array elements of adjacent working units. The horizontal offset distance and the vertical distance between the transmitting array element and the receiving array element are constrained, the mutual inductance coefficient in the working unit approaches to zero, the primary field residual interference is suppressed at the physical level, and the shallow detection blind area is eliminated. Time division multiplexing technology is adopted to realize multi-unit round transmission and multi-channel signal synchronous acquisition, a spatial amplitude response matrix is constructed, and the accurate positioning of the center position and the geometric boundary of an underground abnormal body is realized. The application supports horizontal modular seamless expansion, significantly improves the scanning width and the detection efficiency, and can provide rich data basis for high-quality inversion of the underground abnormal body.

Provided is a system capable of reducing a residual interference when forming a null of a directional beam from a relay communication station in an upper airspace which forms a wide-area cell toward an antenna of a terrestrial cell base station. The wide-area cell base station and one or plural terrestrial cell base stations perform service link communications in the same frequency band using radio frames that are time-synchronized with each other. The wide-area cell base station determines a null-forming method according to the conditions of uplink (UL) and downlink (DL) of the service link communications that are performed synchronously in the radio frames of the wide-area cell and the terrestrial cell, and controls a beamforming by the service link antenna of the relay communication station so as to form a null toward within a coverage area of the terrestrial cell base station based on the null-forming method.

Provided is a system capable of reducing a residual interference when forming a null of a directional beam from an upper-airspace relay communication station that forms a wide-area cell, toward an antenna of a terrestrial-cell base station. The wide-area cell base station and the terrestrial-cell base station perform service-link communications in the same frequency band using radio frames that are time-synchronized with each other. The wide-area cell base station determines a null scheduling regarding a null allocation on time axis and frequency axis based on information regarding the terrestrial-cell base station, and transmits information on the null scheduling to the terrestrial-cell base station. Based on the information on the null scheduling received from the wide-area cell base station, the terrestrial-cell base station estimates an interference from the wide-area cell to a terminal apparatus of user located in its own cell, determines a user scheduling regarding an allocation of a terminal apparatus of user on time axis and frequency axis, and performs a communication with the terminal apparatus of user located in its own cell.

The invention relates to the field of wireless communication systems, and provides an RIS-NOMA resource allocation method based on deep reinforcement learning, which comprises the following steps: acquiring base station position information, RIS position information, position information of each user, base station total power, SIC residual interference coefficient and user QoS conditions as states; a distributed optimization strategy is adopted, and RIS element phases in all states and power and non-circular coefficients of signals transmitted to all users by the base station are output by utilizing an RIS phase network, a power distribution network at the base station and a non-circular coefficient distribution network; feedback is constructed according to the minimum transmission rate in the QoS conditions of the users and the sum of the secrecy rates of all legal users of the system, and the RIS phase network, the power distribution network and the non-circular coefficient distribution network are jointly optimized, so that the secrecy rate of the system is effectively improved under the limiting conditions of different transmission powers and the minimum transmission rate, and the reliability of the system is improved. And the eavesdropping risk of the user is reduced.

The invention relates to the technical field of vehicle-mounted electronics, in particular to a vehicle-mounted video interference suppression method and system based on EMC optimization, and the method comprises the steps: building a transmission reference model; comparing the model with a composite signal on a transmission link in real time, extracting a holographic electromagnetic wave interference component through holographic differential processing, analyzing an amplitude-phase transfer function, and generating a reverse holographic electromagnetic wave through phase conjugate inversion; reverse holographic electromagnetic waves are coupled and injected into a link through a distributed holographic modulation array, and coherent cancellation is carried out on the reverse holographic electromagnetic waves and original interference; residual interference is monitored at the downstream of the link, and the offset effect is dynamically optimized through an adaptive weight updating algorithm. According to the invention, channel noise in a transmission link is eliminated from the source through active cancellation, the technical problem that a video signal is submerged by noise before reaching a receiving end in a strong electromagnetic interference environment is solved, and the suppression effect under complex and changeable working conditions is ensured through a self-adaptive closed-loop system. And the transmission reliability and fidelity of the vehicle-mounted video signal are obviously improved.

The application discloses a power distribution method of a downlink non-orthogonal multiple access system based on a non-circular signal and belongs to the technical field of wireless communication systems. According to the characteristic that a non-circular signal can change the second-order statistics of a sending signal, the non-circular signal is applied to a two-user downlink non-orthogonal multiple access system, and a joint design scheme of a non-circular coefficient and power of a strong channel user is provided. The method implementation steps comprise the following steps: according to the distance between a user and a base station, determining the average channel noise ratio intensity of each user, and the residual interference intensity of an imperfect serial interference canceller adopted by a strong channel user; specifying the sending signal power of a weak channel user, the maximum sending signal power of the strong channel user, the target rate of each user and the maximum outage probability threshold of the weak channel user; and calculating the optimal signal sending parameter of the strong channel user according to a formula. The scheme is helpful to improve the transmission reliability of the strong channel user on the premise of ensuring the transmission reliability of the weak channel user.

The invention discloses an anti-interference visible light communication system based on dynamic spectrum hopping, and relates to the technical field of visible light communication. The system comprises a transmitting end, a receiving end and a feedback link, the transmitting end collects interference data through a multi-dimensional spectrum sensing module, after analysis, a reinforcement learning module dynamically generates a spectrum hopping sequence based on Q learning, and signals are transmitted through an LED array in combination with OFDM modulation and synchronous pilot frequency carrying Hash verification information; and a receiving end realizes stable synchronization by adopting dual mechanisms of pilot coarse synchronization and Hash check fine synchronization, detects residual interference while demodulating, and feeds back the residual interference to a transmitting end to form closed-loop adaptive optimization. The invention solves the problems of poor flexibility, unstable synchronization and lagging interference detection of the existing fixed frequency hopping, significantly improves the communication reliability and spectrum efficiency in a complex interference environment, supports high-speed transmission, has strong compatibility, and is suitable for multiple scenes.

The invention belongs to the technical field of electronic information, particularly relates to a lightweight neural network-assisted EMI filtering system, and aims to solve the problems of poor adaptability, high response delay and large resource consumption of a traditional filtering technology in a complex electromagnetic environment. The system collects multi-channel electromagnetic signals through a front-end sensing array, the signals are preprocessed and then input into a lightweight feature extraction neural network, interference features are extracted in combination with depth separable convolution and a time attention mechanism, dominant interference types are judged through an interference mode recognition engine, and the interference mode recognition engine is used for recognizing the interference types. And the dynamic filtering configuration controller is driven to call the optimal parameter to reconstruct the transfer function of the reconfigurable analog filtering array, and the closed-loop evaluation unit feeds back the residual interference level in real time to iteratively optimize the filtering performance. According to the scheme, accurate suppression of broadband and high-dynamic interference is achieved, quick response and low-power-consumption dual-mode operation is supported, and electromagnetic compatibility and system energy efficiency are remarkably improved.

This application discloses an active filtering method and related apparatus for eliminating cross-interference in charging modules, which improves the electromagnetic compatibility and stability of charging systems and reduces the impact of cross-interference. The application includes: monitoring the output spectrum of the charging module and decoupling the spectrum to obtain the interference frequency and intensity; constructing a digital twin model based on the interference frequency and intensity; extracting the operating state characteristics of the target module and combining these characteristics with the expected coupling path analysis to obtain the coupling strength coefficient; generating the expected coupling interference signal generated by the target module according to the digital twin model; generating an anti-vector signal based on the expected coupling interference signal; injecting the anti-vector signal into the pulse width modulation carrier of the target module to generate the actual driving signal; monitoring the residual interference spectrum output by the target module and calculating the deviation between the residual interference spectrum and a preset threshold; and updating the parasitic parameters of the digital twin model and the anti-vector signal based on the deviation.

The invention provides an ultrasonic guided wave online monitoring device and method for corrosion of an offshore wind power jacket, and the method comprises the steps: generating four-channel excitation signals with a preset phase relation through a DSP signal processing and control system, and respectively driving four quadrants of a four-quadrant piezoelectric ceramic transducer array; the modal suppression sensor group monitors the propagated wave field; and the DSP signal processing and control system analyzes the signals, identifies a residual interference mode, adjusts excitation signal parameters of the four-quadrant piezoelectric ceramic transducer array, feeds back and controls in real time, and suppresses the interference mode to the lowest level. After the pure torsion wave is propagated along the jacket pipe and interacts with the corrosion defect, the four-quadrant piezoelectric ceramic transducer array collects a reflected echo signal. And the DSP signal processing and control system processes the collected echo signal, outputs a detection signal with a high signal-to-noise ratio, and evaluates the corrosion state of the jacket according to the signal. According to the invention, reliable and long-term on-line monitoring of the corrosion state of the jacket is realized.

The invention provides an induced polarization detection half-wave decoupling method and an induced polarization detection half-wave decoupling device based on multi-level emission, and aims to solve the problem that deep weak induced polarization signals are submerged by noise and cannot meet deep ore body identification requirements due to the limitation of waveform distortion, residual interference and the like existing in the conventional chopping decoupling method and the like. A multi-level signal waveform is synthesized by adopting a single-field-source multi-level transmitting technology at a transmitting end, and a waveform signal is provided for decoupling of a receiving end. Furthermore, at a receiving end, a translation convolution decoupling method is provided, accurate separation of an electromagnetic coupling signal and an induced polarization effective signal is realized through the processes of waveform translation, frequency division convolution and signal amplitude compensation, and the loss of the effective signal caused by a traditional chopping decoupling method is avoided.

The application provides a non-orthogonal active-passive cooperative beamforming design method based on beneficial interference, and belongs to the field of energy efficiency optimization of downlink wireless communication. In a conventional IRS-NOMA network, two potential inter-user interferences affect the performance of the system. On one hand, SIC cannot eliminate the interference from high-decoding-order users, and these signals are regarded as noise by the receiving users; on the other hand, when SIC eliminates the interference from low-decoding-order users, the interference signals are difficult to be completely detected and eliminated, and thus the residual interference affects the system performance. Based on this, the application provides two CI-assisted interference design schemes. Specifically, for scheme I, CI converts the interference from high-decoding-order users into user useful receiving information to utilize the interference that cannot be eliminated by the user receiving end. For scheme II, CI converts the interference from low-decoding-order users into user useful receiving information to eliminate the SIC process and improve the useful signal power of the user end.

The invention relates to the technical field of vehicle-mounted electronics, and discloses a vehicle-mounted display screen anti-interference method and system. The method comprises the following steps: acquiring a cable common-mode interference signal through a sensor array; an interference frequency distribution spectrum is generated through preprocessing and spectrum analysis; identifying a high-power interference frequency band set; if the transmission frequency is overlapped with the current transmission frequency, calculating an alternative range and selecting a frequency band which has the lowest power and meets a signal-to-noise ratio threshold as a target frequency; the working frequency of the transmission module is dynamically reconfigured; obtaining a signal quality index after switching, and judging whether further optimization is needed or not by comparing the distortion degree; residual interference is suppressed, a real-time feedback index is extracted, and if the real-time feedback index exceeds a stability threshold value, high-power frequency points are recognized again, and closed-loop adjustment is formed. According to the invention, real-time sensing and frequency adaptive avoidance of dynamic electromagnetic interference are realized, and the data transmission stability and reliability of the vehicle-mounted display screen are improved.

The invention relates to the technical field of signal co-frequency interference suppression, and discloses a signal co-frequency interference suppression method used in a formation condition, and the method comprises the steps: obtaining a sending signal vector and a single-input multi-output mode; and calculating a transmission channel coefficient, analyzing a same-frequency interference mode, calculating an interference signal vector in the same-frequency interference mode, and projecting and eliminating the interference signal vector to obtain an actual output signal vector. The method comprises the following steps: constructing an equivalent channel matrix, calculating pseudo-inverse to obtain a weight vector, subtracting the weight vector from a received signal to obtain a same-frequency interference signal, and carrying out same-frequency interference suppression on the signal according to the same-frequency interference signal. The method can solve the problems that in the prior art, residual interference exists, and for formation transmission of multiple fixed nodes, the algorithm is too complex and the calculation complexity is high due to the fact that a traditional beam forming technology is applied.

The invention discloses an SAR multi-type interference suppression and segmentation method. The method comprises the following steps: obtaining an interference-containing SAR echo signal to be processed, and carrying out short-time Fourier transform and normalization to obtain a time-frequency graph to be processed; a pre-trained generative adversarial network model based on the convolutional block attention mechanism is obtained, a generator is a deep residual network integrated with the convolutional block attention mechanism, a discriminator is a PatchGAN network, and interference used in the training process is multi-type interference; inputting the to-be-processed time-frequency graph into a pre-trained generator to obtain an interference suppression result and an interference segmentation result; and carrying out inverse normalization and short-time inverse Fourier transform on the interference suppression result to obtain an SAR echo signal subjected to interference suppression, and carrying out imaging processing to obtain an SAR imaging result subjected to interference suppression. According to the method, the generative adversarial network is combined, and the problems of signal loss, single interference pattern and interference diffusion energy residue of an existing SAR interference suppression method are solved.

The application relates to a Bi-LSTM-SA low-complexity OTFS channel estimation method and system based on a basis expansion model and belongs to the technical field of wireless communication and deep learning. In view of the problems of low channel estimation accuracy and high equalization complexity in a high-speed mobile scene, the application converts time-domain channel estimation into low-dimensional basis coefficient estimation through a basis expansion model, extracts basis coefficient time sequence features by using a self-attention enhanced bidirectional long short-term memory network, and realizes high-precision channel estimation. Meanwhile, a two-stage equalizer is adopted, single-tap equalization is carried out in a time-frequency domain, and residual interference is suppressed through iterative interference cancellation in a delay-Doppler domain. The application effectively balances estimation accuracy and calculation complexity, and improves the anti-Doppler spread capability and spectral utilization efficiency of a system.