15 results about "Phase matrix" patented technology

The application discloses a user rate enhancement method of an intelligent reflecting surface assisted FTTR system, and belongs to the field of wireless communication.The method comprises the following steps: S1, determining the signal-to-interference-and-noise ratio of a target user according to the beamforming vectors of a target AP and each interference AP and the reflection phase matrix of an IRS, so as to represent the rate of the target user; and S2, maximizing the rate of the target user to obtain the optimal reflection phase matrix of the IRS.The method takes the rate of the target user as a target function, simultaneously considers the enhancement of the target user signal and the suppression of the interference signal by the intelligent reflecting surface, and adjusts the weight of the reflection unit of the IRS to enhance the user rate.The intelligent reflecting surface becomes a competitive communication resource, thereby greatly reducing the complexity of active and passive beam joint adjustment and greatly improving the achievable rate of the target user.The passive beam of the intelligent reflecting surface is quickly calculated through a Riemannian manifold gradient algorithm.

The application discloses a multi-user transmission method and device based on a reconfigurable refractive metasurface antenna, which comprises the following steps: modeling an optimization problem according to a digital beamforming matrix V D , the relationship between the phase shift of each radiation unit and the overall rate R of data sent by a base station to each user s, solving the optimization problem, obtaining an optimal digital beamforming matrix and an optimal phase shift, setting the phase shift of the reconfigurable refractive metasurface to the optimal phase shift, encoding the data stream x S of each user by using the optimal digital beamforming matrix, sending the encoding result through each feed source, and receiving the encoding result after the channel transmission by the user. The application can reduce interference, enhance useful signals and realize the simultaneous signal transmission to multiple users based on the reconfigurable refractive metasurface with multiple feed sources and the digital beamforming of the front end. The system sum rate can be maximized by optimizing the phase matrix and the digital beamforming matrix.

This invention discloses an atmospheric delay correction method and system for interferometric synthetic aperture radar (InSAR), belonging to the field of radar signal correction technology. It includes: performing time-series analysis on a preprocessed SAR image set to obtain multiple interferograms; performing phase unwrapping to obtain multiple unwrapped phases; decomposing the observation matrix composed of the multiple unwrapped phases to obtain multiple independent components; removing independent components related to vertical layer delay from the observation matrix based on the correlation coefficient and periodicity coefficient between each independent component and terrain elevation to obtain a residual phase matrix; and performing turbulent delay correction on the residual phase matrix to obtain a corrected interferogram phase set deformation time series. This invention effectively suppresses the interference of atmospheric delay errors on deformation signals, preserves the true deformation information to the greatest extent, and significantly improves the accuracy of InSAR deformation monitoring.

This invention discloses a method for arranging nanopillars for a meta-lens, comprising dividing a first nanopillar array into a sub-unit matrix composed of multiple sub-units, obtaining a process overspec positioning matrix from the sub-unit matrix to locate process overspec sub-units in the first nanopillar array, obtaining an average phase matrix from the sub-unit matrix, establishing a replacement sub-unit database using the process overspec positioning matrix and the average phase matrix, and selectively replacing process overspec sub-units in the first nanopillar array using the replacement sub-unit database to obtain a second nanopillar array, thereby improving the yield of the meta-lens by taking into account both the expected phase value and process specifications.

The application relates to the technical field of radar and communication, and specifically discloses an integrated base station computing offloading method based on IRS assistance. First, in the environment of a high-performance edge server near a base station, with the aid of intelligent reflecting surface (IRS) technology, received data is offloaded to the server for centralized processing, and a radar detection and communication uplink joint receiving system is constructed. Then, under the constraints of receiver power, frequency band energy and IRS constant modulus, a computing offloading problem model is constructed to minimize the total energy consumption of the system as a radar point target, so that the receiving vector design is simultaneously optimized. Finally, the computing offloading problem model is decomposed, and the radar and communication receiving vectors and IRS phase matrices are solved respectively. The method realizes the overall performance improvement of each functional module, enhances the adaptability and anti-interference ability of the system in actual complex environments, and realizes the global optimal balance of communication rate, sensing accuracy, time delay and energy efficiency.

The application belongs to the technical field of data processing, and discloses an InSAR non-uniform phase correction method and system based on a coherence matrix guide, a terminal and a storage medium, the method comprising: obtaining ground object category data of a target research area, and calculating a symmetric phase matrix and a symmetric coherence time matrix according to the ground object category data; performing phase reconstruction processing on the symmetric phase matrix to obtain a target closed phase, and constructing a target data set according to the target closed phase and the symmetric coherence time matrix; determining a preset model, and performing model training and model optimization on the preset model according to the target data set to obtain a surface deformation displacement test model; obtaining target ground object category data of a target test area, inputting the target ground object category data into the surface deformation displacement test model, and obtaining a target surface deformation displacement test result. The surface deformation displacement test model is constructed, and the test efficiency and test accuracy of the surface deformation displacement test result can be effectively improved.

The RIS assisted ISAC system joint optimization method facing eavesdropping confrontation belongs to the field of communication, comprising: taking potential eavesdroppers as sensing targets and modeling the system; taking the RIS reflection phase matrix, the secret signal beam vector and the artificial noise beam vector as joint configuration variables, taking the communication secrecy rate and the target direction sensing accuracy as joint optimization targets, and constructing a multi-objective optimization problem; adopting a random grouping and density sensing non-dominated sorting genetic algorithm, combining a non-dominated sorting method, a random grouping mutation mechanism and a density sensing end front selection strategy to solve the multi-objective optimization problem; and optimizing the joint configuration variables. The method breaks through the limitation of the prior art that only serves legal users, realizes active confrontation to eavesdroppers, avoids the artificial fragmentation caused by variable splitting, can directly find the optimal solution in a multi-dimensional continuous space, and improves the solving efficiency and solution set distribution uniformity under high-dimensional strong coupling variables.

This invention relates to the field of optical interferometry technology and discloses a multi-scale anisotropic dynamic elastoplastic mesh phase unpacking method and apparatus. The method involves obtaining the gradient field of the encapsulated phase matrix as the initial prestress; establishing a discrete node mesh corresponding to the image; initializing the anisotropic stiffness coefficient tensor based on residual point detection; constructing and solving a multi-scale mechanical equilibrium equation based on the minimum potential energy principle; calculating the difference between the current unpacked phase gradient and the prestress to obtain the local lattice strain field; dynamically updating the stiffness coefficients according to the strain magnitude based on a nonlinear plastic constitutive relation to simulate the plastic softening and fracture behavior in the shear region; iterating until the system potential energy converges, and outputting the target unpacked phase matrix. This invention accelerates convergence through multi-scale solving, suppresses noise and preserves phase discontinuity characteristics by utilizing anisotropic elastoplastic mechanisms, solves the problem of traditional algorithms easily producing stringing or excessive smoothing, and improves the accuracy of phase unpacking.

This invention relates to the field of intelligent formulation optimization technology for aquatic feed based on computer vision, and particularly to a method and system for optimizing aquatic feed formulation based on artificial intelligence. The method includes controlling an underwater vortex light source to emit a spiral phase light field into the water body, and acquiring a topological phase interference holographic image obtained from the backscattering of suspended particulate matter. By extracting the phase distortion matrix and combining it with the initial spiral phase matrix, the optical topological charge splitting step value is calculated, thereby separating the degraded background pixels caused by suspended bait and extracting the charge splitting visual tensor induced by the feeding of target organisms. The neural network transforms the charge splitting step frequency into dynamic penalty weights of hydrodynamic partial differential conditions, calculates and outputs mechanical kinetic energy intensity parameters, and adjusts the output aquatic feed formulation execution data. This solves the technical problem of artificial intelligence misjudging feeding behavior and outputting redundant attractant formulations due to underwater light curtain scattering.

This invention provides an optimization method for a cellless symbiotic communication and sensing system based on passive metamaterial tags, relating to the field of Internet of Things (IoT) technology. The method includes: Step S1, constructing a cellless symbiotic communication and sensing system based on passive metamaterial tags; Step S2, constructing a joint beamforming multi-objective optimization problem, which simultaneously maximizes the communication and rate of the main system and the communication and rate of the secondary system. Constraints include sensing SINR under multiple sensing objectives, and optimization variables are the AP transmit beamforming matrix, the AP receive equalization vector, and the metamaterial tag reflection phase matrix; Step S3, using a constraint transformation-based Pareto optimization framework, transforming the multi-objective optimization problem into a single-objective optimization problem, and obtaining the final beamforming optimization result by iteratively solving the optimization variables described in Step S2. This invention can effectively improve the symbiotic communication and sensing performance of cellless systems.

The application provides a power transmission line galloping online monitoring and evaluation method and system, the method comprising: based on a distributed clock synchronization algorithm, calculating the phase coefficient between acceleration signals detected by different sensor units in the same span to construct a phase matrix; performing eigenvalue decomposition on the phase matrix to separate galloping modes of different orders according to the size of the eigenvalue, and detecting the phase difference, amplitude ratio and non-linear index of each galloping mode to construct a galloping non-linear feature vector; inputting mechanical load, electric force and magnetostrictive force as boundary conditions to reconstruct the three-dimensional stress field of the conductor, insulator string, fitting and tower; comparing the calculation results with the material allowable stress and fatigue limit of each key part to generate corresponding galloping risk levels and warning information. The application can greatly improve the monitoring and evaluation efficiency of the power transmission line galloping.

An arrangement method of nano-pillars of a meta-lens provided by embodiments of the present disclosure includes dividing a first nano-pillar array into a sub-unit matrix including multiple sub-units, obtaining an out-of-specification locating matrix from the sub-unit matrix to locate an out-of-specification sub-unit in the first nano-pillar array, obtaining an average phase matrix from the sub-unit matrix, building a substitution sub-unit database by using the out-of-specification locating matrix and the average phase matrix, and selectively substituting the out-of-specification sub-unit in the first nano-pillar array by using the substitution sub-unit database to obtain a second nano-pillar array.

This invention relates to a method, device, and computer-readable storage medium for in-vehicle life detection. The method comprises the following steps: S1, acquiring an intermediate frequency (IF) signal and performing FFT processing on the IF signal to obtain a set of phase signals; acquiring the corresponding phase matrix signal through slow-time data accumulation; S2, performing FFT processing on each distance unit of the phase matrix signal to establish a phase change frequency spectrum; S3, acquiring the power distribution of the target frequency band based on the phase change frequency spectrum, acquiring the first signal-to-noise ratio (SNR) distribution data for each distance unit based on the power distribution of the target frequency band, and acquiring second SNR distribution data based on multiple sets of first SNR distribution data; S4, screening the SNR distribution data to obtain the number of effective moving distance units and determining whether a corresponding life form exists. This invention proposes an in-vehicle life detection method, device, and computer-readable storage medium, which can effectively improve the accuracy of life detection.

The application relates to an optimization transmitting waveform anti-speed deception jamming method based on a quasi-orthogonal space and belongs to the technical field of radar signal processing, and is particularly suitable for the field where corresponding strong-power speed deception jamming exists in the main lobe or the side lobe of a radar under the condition of speed deception jamming. Firstly, radar intermediate frequency echo data are collected and down-converted to a baseband, are arranged into a radar echo data matrix after pulse compression, then a Fourier transform matrix is defined and a target to-be-estimated Doppler parameter interval is set; then a quasi-orthogonal space cost function is constructed, and a matrix phase and amplitude, a stop hyperparameter and an iteration number are initialized; finally, the phase value is updated according to an iteration formula, the final phase matrix and the transmitting waveform are updated after the iteration is stopped, and therefore, the speed deception jamming is effectively suppressed, so as to overcome the problems that in the prior art, a target signal-to-noise ratio is seriously lost and interference suppression capacity is insufficient.

This invention discloses an imaging detection method for internal defects in concrete structures based on an ultrasonic array, comprising: arranging an ultrasonic array, receiving echoes in multiple rounds according to a preset sequence to acquire multi-channel data; time-aligning the echo data, extracting amplitude and phase consistency features, and constructing a scattering potential energy distribution; calculating the scattering gradient field, clustering along negative gradient streamlines, and determining candidate defect regions; inputting the amplitude and phase matrices into a shared NAFNet, frequency-domain gating and potential energy modulation, and outputting an enhanced map; extracting the center-to-time of sparse wavefront clustering, performing curvature canonical inversion, and constructing a sound velocity curvature field; generating propagation paths and folding and compressing them to construct reachable domain time-delay superimposed imaging. This invention achieves high-resolution imaging detection of internal defects in concrete structures by constructing a scattering potential energy distribution and combining it with an improved NAFNet network to enhance echo features and sound velocity-curvature coupled propagation modeling.