23results about How to "Good interference suppression effect" patented technology

The invention discloses a photoelectric tracking system control method based on disturbance observation composite compensation control, and belongs to the technical field of photoelectric tracking system control. The method comprises the following steps: inputting a difference value between theoretical output of a mathematical model of the photoelectric tracking system and actual output of the photoelectric tracking system under the action of given input voltage when external multi-source interference exists into an interference feedback controller to obtain an interference feedback compensation estimated value, and feeding back the interference feedback compensation estimated value to the input of the mathematical model of the photoelectric tracking system; interference observation feedback compensation control is formed; building an extended state observer based on an extended state space expression, and feeding forward an estimated value of an extended state variable as an interference feed-forward compensation estimated value to the front of the input of a mathematical model of the photoelectric tracking system to form interference observation feed-forward compensation control; meanwhile, interference observation feedback compensation control and interference observation feedforward compensation control are used for estimating external multi-source interference and performing dual compensation, so that interference observation composite compensation control is formed, and the interference suppression capability of the system is further enhanced.

The invention discloses an SAR (Synthetic Aperture Radar) interference suppression method based on intelligent image decomposition, which mainly solves the problem of poor SAR imaging interference suppression effect in a complex electromagnetic environment in the existing method. According to the implementation scheme, actually measured data are obtained, and interference signals are generated; respectively imaging measured data, interference signals and mixed data consisting of interference and measured data by using an imaging algorithm, and dividing into a training set and a test set; constructing an image decomposition interference suppression network comprising an image decomposition network and an interference suppression network, and carrying out iterative training on the network by utilizing the training set and adopting back propagation; and inputting the test set into the trained image decomposition interference suppression network to obtain an image after interference suppression. According to the method, interference suppression is carried out on the image level, sufficient interference suppression training can be carried out on a specific scene, the utilization rate of image data and the capability of suppressing interference of the specific scene are improved, and the method can be used for suppressing various interferences caused to radar imaging in a complex electromagnetic environment in target detection.

The invention discloses a signal processing method, signal processing equipment and a storage medium, relates to the technical field of wireless communication, and discloses a signal processing method, which comprises the following steps: acquiring a power spectrum of a to-be-processed frequency domain signal, and determining a target power spectrum corresponding to the power spectrum according to spectrum power jitter information of the power spectrum; determining a suppression coefficient of the to-be-processed frequency domain signal according to the power spectrum and a quotient set or a difference set of each frequency point of the target power spectrum; and updating the power spectrum based on the suppression coefficient to perform interference suppression on the to-be-processed frequency domain signal. Based on this, after frequency domain transformation is carried out on the signal, a corresponding suppression coefficient is calculated to adjust the power spectrum, so that adjustment is dynamically carried out according to the actual state of the current spectrum, it is not needed to judge when to suppress interference depending on a fixed threshold, spectrum adjustment can be carried out in real time, and the anti-interference effect is improved.

The invention discloses an FBMC underwater acoustic communication receiving end anti-interference method based on a W-Net network, a receiving end network of an FBMC underwater acoustic communication model comprises the W-Net network, and the W-Net network is composed of a multipath elimination model UNet and an interference suppression model MS-UNet connected in series. Constructing a multipath elimination data set and an interference suppression data set; training a multipath elimination network UNet by using the multipath elimination data set, and training an interference suppression network MS-UNet by using the interference suppression data set; the interference suppression network MS-UNet comprises a UNet part, three SE modules and a multi-head self-attention module. The anti-interference capability of the underwater acoustic communication system is improved, the bit error rate is reduced, and the underwater acoustic signal transmission quality is improved.

This invention discloses a radar target angle measurement method under main lobe interference based on a joint air-pole cancellation algorithm. The implementation steps are as follows: receiving the echo signal from a dual-polarized radar antenna array; estimating the autocorrelation matrix of the auxiliary antenna using the echo signal; performing multi-directional beamforming on the main antenna echo signal, calculating the cross-correlation matrix of the main and auxiliary antennas using the beamforming results, and calculating adaptive weights using the minimum mean square error criterion; calculating the joint air-pole cancellation output using the adaptive weights, and using the scanning angle corresponding to the maximum magnitude in the joint air-pole cancellation output as the target angle estimate. The angle measurement method designed in this invention significantly improves the accuracy of target angle estimation while maintaining low computational load under main lobe interference conditions, and has high engineering application value.

The present application provides an interference management method, device and storage medium, which relate to the field of communication technology and are used to solve the technical problem of low interference suppression effect between beams in general technology. The interference management method includes: obtaining location information of multiple terminals in a preset area, and dividing the multiple terminals into at least one terminal cluster based on the location information; performing a first operation for at least one terminal cluster to obtain at least one beam corresponding to at least one terminal cluster; the first operation includes: obtaining target beam measurement information of each target terminal in the target terminal cluster; the target beam measurement information includes: signal strength value and signal quality value; according to the target beam measurement information, determining the target beam corresponding to the target terminal cluster; for each terminal among the multiple terminals, controlling a terminal to access the beam corresponding to the terminal cluster to which the terminal belongs.

The invention discloses a multi-cluster air computing method and system based on a deep expansion graph neural network, and belongs to the technical field of air computing in a wireless network, and the method comprises the steps: firstly, defining an aggregation center node, a wireless device node and an edge for connecting the two nodes in a heterogeneous graph neural network; secondly, a multi-cluster control calculation optimization problem needing to be solved is decomposed into a neural network solving module of an unfolded structure; secondly, designing a feature extraction and feature embedding method in a neural network solving module; secondly, designing a heterogeneous graph neural network encoder to aggregate the features, and mapping the aggregated features into variables needing to be optimized through a designed multi-layer perceptron decoder; and finally, designing a parameter sharing strategy of the whole network and a learning method of the neural network, and training the neural network to obtain a universal model. The scheme provided by the invention is superior to an existing optimization scheme in the aspect of calculation rate, the solving speed is greatly improved, and the method has very strong generalization ability.

This utility model discloses a non-magnetic power supply filter for nuclear magnetic resonance gradient power supplies, belonging to the field of electromagnetic compatibility filter technology. It consists of ten identical filter branches arranged in parallel, each branch forming a first-level filter channel. The structure of each channel is as follows: the signal enters from the input pin Ln, first passing through the left-side through-hole capacitor C1, the other end of which serves as the output. The output of the left-side through-hole capacitor C1 is connected in series with an inductor L. The other end of the inductor L is connected to one end of the middle through-hole capacitor C1, and the output of the middle through-hole capacitor C1 is connected in series with another inductor L. The other end of the other inductor L is connected to one end of the right-side through-hole capacitor C1, and the output of the right-side through-hole capacitor C1 is connected to the output pin Ln'. This utility model solves the problems of large space occupation, complex installation and wiring, excessive wiring that easily introduces additional interference, and inconsistent performance of each filter.

The invention relates to a hemispherical field of view laser radar weighted NDT positioning method. The hemispherical field of view laser radar weighted NDT positioning method comprises the following steps: S1, dynamic target sensing and point cloud dynamic probability calculation; S2, point cloud weighting and NDT target function construction; S3, wheel speed data fusion and pose calculation; according to the hemispherical field of view laser radar weighted NDT positioning method, the dynamic probability output by dynamic target sensing and multi-target tracking can be converted into the point-level weight, interference of dynamic points on positioning is suppressed, and the positioning precision and convergence are improved. Meanwhile, in combination with chassis wheel speed data, prior information is provided for positioning by calculating and fusing odometer information, so that the positioning stability is enhanced.

This invention discloses an electromagnetic interference (EMI) suppression circuit, method, and electrical device. The EMI suppression circuit includes: an interference cancellation module, grounded, for outputting a cancellation signal to cancel EMI signals generated when the switching transistor drive circuit of the electrical device outputs a switch control signal; and a processing chip, connected to the interference cancellation module, for controlling the timing of the cancellation signal output based on the timing of the switch control signal output by the switching transistor drive circuit, and controlling the direction of the cancellation signal based on the direction of the EMI signal. This invention enables active EMI suppression based on the direction and timing of the EMI signal, achieving good EMI suppression effects for EMI signals of different frequencies.

The application belongs to the technical field of electromagnetic wave regulation and anti-interference, and specifically provides a dual-polarized broadband angle selective surface structure for same-frequency anti-interference, to solve the key technical problems of insufficient angle selectivity, limited working bandwidth and poor polarization adaptability of the existing angle selective structure in engineering application. The application proposes a structure design of multilayer metal plus polystyrene foam based on Jerusalem cross slots, realizes TE and TM dual-polarized working modes through innovative unit design and interlayer coupling mechanism; the multilayer metal arrangement realizes excellent angle selectivity and more than 6% working bandwidth while keeping a low profile, can keep low-loss transmission of incident waves at small-angle incidence, and keep stable angle selectivity and interference suppression performance at large-angle incidence; and the application has the significant advantages of good angle selectivity, wide working bandwidth, strong polarization adaptability, high structural stability and the like.

The invention belongs to the technical field of anti-interference, and discloses an active anti-interference method, system and device based on a high-order low-pass filter. The method comprises the following steps: acquiring system disturbance according to a state space model of a motion control system, extracting matching disturbance in the system disturbance, and decomposing the matching disturbance into a differentiable part and a bounded part; taking the differentiable part as an expansion state, performing expansion operation on the system state by using the expansion state, and reconstructing a state space model based on the expanded system state to obtain an expansion state space model; according to the extended state space model of the motion control system, an extended state observer based on a high-order low-pass filter is established, and the extended state observer comprises the high-order low-pass filter, the extended state observer and an output feedback controller. The method is used for high-performance disturbance suppression and noise suppression of the motion control system so as to improve the control precision of the motion control system.

This invention belongs to the field of wireless communication and relates to a machine learning-based method for wireless communication channel estimation. The method includes: acquiring pilot signals, antenna array geometric parameters, and multipath propagation parameters from the transceiver end of a millimeter-wave massive MIMO system to construct a three-dimensional propagation structure model; determining candidate regions for the channel sparse support set and generating a prior constraint matrix for the channel sparse support; inputting the prior constraint matrix and pilot observation data into a sparse reconstruction algorithm for channel sparse feature extraction and dimensionality reduction; performing super-oscillatory feature enhancement on the dimensionality-reduced channel sparse features to form an enhanced channel feature vector; inputting the enhanced channel feature vector and the prior support vector matrix into a complex domain deep expansion network to output the channel estimation result; and outputting the final beamforming weights. Its beneficial effects are improved sparse support set matching accuracy and channel estimation precision with low pilot overhead, and enhanced system throughput and interference suppression capabilities.

The utility model relates to the technical field of lithium batteries, and discloses a lithium battery multi-mode thermal mass characteristic synchronous detection device which comprises a split type double-cavity structure, an upper layer infrared detection cavity, a lower layer isothermal calorimetric cavity, a middle aerogel thermal insulation layer and an FPGA (Field Programmable Gate Array) control panel, a thermal infrared imager and a battery to be detected are arranged in the upper layer infrared detection cavity, and a lower layer isothermal calorimetric cavity is arranged in the lower layer isothermal calorimetric cavity. A thermopile array and an electromagnetic force weighing sensor are arranged in the lower-layer isothermal calorimetric cavity and used for obtaining heat production power and mass change, transverse heat flow is blocked by the aerogel heat insulation layer, millisecond-level synchronous triggering is achieved by the FPGA control panel, and the upper-layer cavity and the lower-layer cavity are connected through a low-heat-conduction ceramic column. The device solves the problems of thermal-mechanical coupling interference and multi-modal data loss of traditional detection equipment, and provides high-precision multi-physical field coupling data support for lithium battery thermal runaway early warning and health state evaluation.

The present application discloses an interference suppression method, device, equipment and medium for a multi-polarization channel SAR system, the method comprising: obtaining a SAR data matrix, the SAR data matrix comprising at least two polarization channel data interfered with at the same time and in the same scene; determining first polarization channel data and second polarization channel data from at least two polarization channel data according to the interference energy value corresponding to the polarization channel data, the interference energy value of the second polarization channel data being greater than the interference energy value of the first polarization channel data; obtaining interference data from the second polarization channel data, and using the interference data to interfere with the first polarization channel data to obtain the first polarization channel data after interference; using a preset low-rank algorithm to suppress interference on the first polarization channel data after interference, and performing interference elimination according to the interference data to obtain the first polarization channel data after interference suppression. The method provided by the present application can improve the interference suppression effect.

The invention discloses a color conversion full-color Micro LED chip structure and a manufacturing method. A chip comprises transparent protective glue, a Si substrate, transparent filling glue and a color conversion material which are embedded in the Si substrate, a transparent adhesion layer, a Micro LED chip, isolation insulation glue, a wiring circuit, protective glue and an electrode. The isolation insulation glue and the protection glue are respectively provided with through holes to realize interlayer interconnection. According to the manufacturing method, mass production is achieved through the steps of silicon wafer groove preparation, transparent filling glue coating and etching, color conversion material printing, Micro LED chip mass transfer, wiring and electrode manufacturing, back face processing and cutting and the like. The embedded integrated design is adopted to simplify the chip structure, the process flow is optimized, the cost is reduced, the Si substrate improves the heat dissipation performance, the brightness and the color purity are optimized, the problems that in the prior art, the structure is complex, and light crosstalk is serious are solved, and the LED module is suitable for high-definition display, vehicle-mounted display, AR / VR and other scenes.

The present application belongs to the technical field of inversion control of automobile active suspension, and particularly relates to a nonlinear active suspension constraint disturbance suppression method with preset attenuation performance, which comprises the following steps: Step 1: a 1 / 4 vehicle nonlinear uncertain active suspension model is established, and a control equation containing matching disturbance force and unmatched disturbance force is established; Step 2: based on the compensation of matching and unmatched disturbance of the 1 / 4 vehicle nonlinear uncertain active suspension model in Step 1, an error expression of disturbance estimation is obtained through dynamic surface technology, and an adaptive disturbance update law of the system is constructed by introducing a preset attenuation performance function; Step 3: on the basis of Step 2, an inversion control law with preset attenuation performance is established in combination with the disturbance estimation law, and stability and boundedness of the inversion control law are analyzed. The present application can compensate matching and unmatched disturbance simultaneously, coordinate transient and steady-state performance, implement the control scheme of active suspension by using low-cost sensors, and improve the disturbance suppression performance of the suspension.

The invention discloses a filter multi-dimensional coefficient joint optimization method based on an improved dung beetle algorithm, and belongs to the field of filter optimization design, and the method comprises the steps: building an optimization model according to a filter needing to be optimized, and obtaining a to-be-optimized parameter and an optimization objective function; constructing a filter multi-dimensional coefficient joint optimization method based on an improved dung beetle algorithm; and introducing the optimized parameters into a filter, simulating to generate a passive intermodulation component, and performing interference suppression. According to the method, the optimal coefficient of the FIR filter can be efficiently and accurately searched, the fidelity of an analog radio frequency channel of the FIR filter is improved, and the interference suppression capability is improved.

This invention discloses a method for semantic detection and multi-frame joint signal reconstruction of radar composite interference, belonging to the field of radar signal processing technology. For signal reconstruction, it includes performing short-time Fourier transform and power-law nonlinear transform on mixed and clean interference signals to obtain enhanced time-frequency maps and binary masks; constructing a U-shaped network guided by physical features, embedding two-dimensional constant false alarm rate (CFAR) detection in skip connections, generating a matrix of interference signal-to-noise ratio (SNR), confidence level, and neighborhood interference proportion as physical features, and outputting a semantic mask; using the CLEAN algorithm to suppress interference, and achieving signal reconstruction based on a corrected dictionary; and solving for sparse vectors in the Doppler domain through sparse Bayesian learning to obtain a high-resolution two-dimensional distribution of the target in the range and Doppler domains. This invention improves the accuracy and anti-interference robustness of high-resolution two-dimensional reconstruction of radar targets in the range and Doppler domains through U-shaped network semantic segmentation guided by physical features and sparse Bayesian learning.

The application discloses a main lobe deception jamming suppression method based on waveform diversity and subspace projection, which can effectively suppress the main lobe deception jamming in the form of intermittent sampling and forwarding. The specific steps are as follows: step 1, a waveform of a transmission signal is designed as an inter-pulse agile waveform according to jamming parameters, and a received echo is obtained after the transmission signal is transmitted by a radar. Step 2, a reconstruction submodule is used to perform reconstruction processing on the jamming signal in the received echo, and a reconstruction result of the jamming signal is obtained. Step 3, the reconstruction submodule is used to perform reconstruction processing on the target signal in the received echo after the cancellation of the jamming signal, and a reconstruction result of the target signal is obtained. Step 4, the reconstruction result of the target signal is cancelled from the received echo, and the jamming signal in the updated received echo is taken as the input of step 2, and steps 2-3 are executed in cycles until iteration is completed, and the main lobe deception jamming in the form of intermittent sampling and forwarding can be effectively suppressed after multiple iterations.

The invention provides a method for determining a phase shift coefficient of a metasurface array, and the method comprises the steps: S1, constructing an interference suppression model of the metasurface array, and enabling a target in the interference suppression model to be communication quality index maximization between a target base station and the metasurface array, a decision variable in the interference suppression model is a phase shift coefficient of # imgabs 0 # metasurface units included in the metasurface array and # imgabs 1 # and is a positive integer; s2, solving the interference suppression model based on a particle swarm optimization algorithm to obtain a corresponding current optimal solution; in a solving process based on a particle swarm optimization algorithm, each particle in a particle swarm comprises # imgabs2 dimensions and # imgabs3 dimensions which are respectively used for representing phase shift coefficients of # imgabs4 metasurface units, and the fitness of the particle is a communication quality index between a target base station and a metasurface array when a phase shift coefficient scheme corresponding to the particle is deployed in the metasurface array. The current optimal solution comprises the current optimal value of the phase shift coefficient of the # imgabs 5 # metasurface units.

The application discloses a design method of an interference suppression mismatch filter based on a least mean square algorithm, and first, radar transmitting signals and intermittent sampling retransmission type interference signals are constructed, and mismatch filter coefficients are initialized; then, pulse compression output results are calculated, and the mismatch filter coefficients are optimized based on the least mean square algorithm; finally, the pulse compression results in which interference false targets are effectively suppressed are obtained by using the optimized mismatch filter; the application can effectively suppress the intermittent sampling retransmission type interference, reduce the amplitudes of the interference false targets, and thus the targets can be effectively detected.

The invention provides a signal processing method and device, electronic equipment, a chip and a storage medium, and relates to the field of communication, and the method comprises the steps: determining an initial noise correlation matrix of a plurality of sub-bands in a bandwidth occupied by a received signal; determining a target noise correlation matrix of the plurality of sub-bands according to the difference degree between the initial noise correlation matrixes of the plurality of sub-bands; and performing interference suppression on the received signal according to the target noise correlation matrix of the plurality of sub-bands to obtain a demodulation signal. Therefore, whether sub-band interference exists among the plurality of sub-bands can be judged based on the difference degree among the initial noise correlation matrixes of the plurality of sub-bands, the final target noise correlation matrix corresponding to the plurality of sub-bands is determined in a targeted manner based on the judgment result, and the target noise correlation matrix corresponding to the plurality of sub-bands is determined based on the target noise correlation matrix of the plurality of sub-bands. Interference suppression is carried out on the received signal, the interference suppression effect of the signal can be improved, the signal demodulation capability of the receiving equipment is improved, and the method can be suitable for variable channel environments.