11results about How to "Good interference suppression effect" patented technology

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 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.

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 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.

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 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.