675 results about "Array element" patented technology

The invention relates to the technical field of defect detection, and discloses a flange forging defect detection method and system. The method comprises the following steps: performing three-dimensional scanning and material acoustic characteristic measurement on a to-be-detected wind power flange to obtain layer partition sound isolation path data; generating an array element excitation control file of the double-array phased array ultrasonic detection system; applying the array element excitation control file to a double-array phased array ultrasonic detection system, and performing micro defect feature enhancement on a received echo signal to obtain a feature-enhanced signal data set; performing ultrasonic emission and data acquisition on the wind power flange to obtain a global detection data set; and inputting the global detection data set into the two-stage defect detection model for defect feature extraction and classification evaluation, and generating a defect detection evaluation report. According to the method, the detection rate and the classification accuracy of the micro forging defects are improved.

The invention discloses a composite board ultrasonic defect detection method which comprises the following steps: S1, fixing a carbon fiber circumferential winding composite pressure container on a bracket, and establishing a coordinate system with the axis of the container as a z axis; s2, a 40 MHz dry coupling phased array ultrasonic probe is attached to the scanning starting point, and the contact angle of the probe is recorded; s3, moving the probe along the spiral track of the outer surface of the container at the speed of 20mm / s, and collecting A-scanning echo signals of all array elements; s4, performing pulse compression and time domain deconvolution processing on the acquired signal to obtain a time domain echo sequence; s5, delay time is calculated according to the shell curvature, the array element signals are compensated, and focusing B-scanning data are generated; s6, splicing the B-scanning data at the step length of 0.5 mm * 0.5 mm, and reconstructing C-scanning data corresponding to the space coordinates; and S7, inputting the C-scanning data into the trained Transform network, and outputting defect types, sizes and three-dimensional coordinates. The method realizes high-frequency ultrasonic composite board defect accurate detection, remarkably improves the microcrack recognition rate, and is widely applied to safety evaluation scenes of high-pressure hydrogen storage tanks and pressure vessels.

The invention relates to the technical field of TDOA (time difference of arrival) positioning, and provides an ultrasonic three-dimensional positioning method based on beam enhancement and TDOA, which comprises the following steps: extracting initial space parameters based on beam scanning of an array receiving signal, carrying out iterative optimization on beam weight to adjust a direct wave component and suppress reflection interference, constructing a closed-loop optimization mechanism, and carrying out beam enhancement and TDOA positioning. Calculating an enhanced signal and an array element reliability measurement index through frequency domain segmentation and energy normalization; forming an optimization array based on the array element reliability measurement index, extracting a time delay parameter from the optimization array, constructing a distance measurement equation set, and calculating an initial estimation value of a target position by adopting a weighted optimization algorithm; and constructing a residual error model, constructing an optimized weight matrix by combining an array element reliability measurement index and a signal quality index, iteratively calculating a target coordinate until a convergence condition is met, and outputting a final three-dimensional coordinate. According to the method, the comprehensive performance of ultrasonic three-dimensional positioning in the aspects of anti-interference performance, stability and positioning precision in a complex environment is improved, and error source control is realized.

The invention discloses a rubber-lined pipeline defect detection method and system, and the method comprises the steps: arranging an ultrasonic probe array, obtaining large-area scanning information of a rubber-lined pipeline, collecting an ultrasonic signal, an echo signal and a resonance signal, generating a resonance signal curve, and reflecting a mapping image of the interior of the rubber-lined pipeline. And calculating a half-power bandwidth and a damping characteristic parameter, generating a corresponding characteristic vector through the identification model, identifying and positioning defects in the rubber-lined pipeline, evaluating the severity of the defects, and outputting an identification result. Through the structural design of arranging a plurality of array elements of the array probe, the coverage range is increased, ultrasonic wave emission and receiving are carried out on the rubber-lined pipeline from different angles and positions, the probability of discovering small-area debonding is improved, in addition, the machine learning technology is combined, an intelligent recognition model is trained, rich features are provided, and the detection accuracy is improved. The capability of identifying different types of defects is enhanced, the sensitivity to different types of defects is improved, and the risk of missing detection of small-area debonding is reduced.

The invention provides an acoustic array adaptive calibration correction system applied to an underwater moving target, which relates to the technical field of marine equipment and comprises a multi-source excitation and environment perception module, an intelligent array perception and diagnosis module, an adaptive position inversion and uncertainty quantification module and a closed-loop calibration execution and self-learning optimization module. The multi-source excitation and environment perception module is responsible for providing reference signals required by calibration and establishing a correlation model of environment and formation distortion, and the intelligent array perception and diagnosis module realizes multi-modal data acquisition, array element health state monitoring and formation geometry self-perception. The adaptive position inversion and uncertainty quantization module completes signal processing, position estimation and error quantization propagation, and the closed-loop calibration execution and self-learning optimization module executes a compensation strategy, verifies a calibration effect and continuously optimizes system performance through online learning; the system solves the problem that a traditional method cannot process environment time varying, multi-sensor conflicts and uncertainty quantization.

The invention relates to the technical field of signal analysis, in particular to a GNSS (Global Navigation Satellite System) detection method and system based on machine learning, and the method comprises the steps: receiving a navigation radio-frequency signal containing reality and deception, and carrying out the down-conversion of an RF (Radio Frequency) front end to obtain intermediate-frequency data; gNSS signal capture is completed by searching correlation peaks in frequency and code phases based on intermediate frequency data; in the capturing stage, a motion state, a correlation peak number, a noise value, capturing parameters and peak + / -1 chip sampling features are extracted and input into a machine learning classification model to judge whether cheating exists or not; if so, separating the deception signal from the real signal, and respectively sending the deception signal and the real signal into independent tracking channels; measuring an array element carrier relative phase by an array antenna, establishing a phase center model, and correcting to obtain an effective phase center and a differential baseline; according to the method, a deception azimuth angle and a pitch angle are obtained, a beam weight is calculated, a deception direction is subjected to null setting, a real direction is subjected to main lobe protection, and a weight value is fed back in real time to improve a signal carrier-to-noise ratio and locking stability. According to the invention, the problem that the existing commercial GNSS signal is low in power and easy to be interfered by deception is solved.

The invention discloses a large-scale phased array multi-channel partition beam control method and device based on an FPGA and a storage medium. The method comprises the steps that a control instruction of an antenna control unit is acquired; analyzing the control instruction which is verified to be correct, judging an instruction type according to an analysis result, when the instruction type is a beam switching instruction, determining a beam control parameter in the instruction, and calculating a base code of the phased-array antenna according to the beam control parameter; the array elements of the phased-array antenna are divided into a plurality of areas, according to the base codes and the position coordinates of the array elements, the wave control codes of the array elements are calculated in parallel by adopting a multi-channel partitioning method, and the wave control codes are normalized and then written into a beam forming chip in parallel; and after the operation is completed, a corresponding response instruction is sent to the antenna control unit. The method has the advantages of being high in beam switching speed, small in resource consumption and good in universality, an array can form a sparse array in the mode of sending a control instruction, and therefore side lobes are restrained, and power consumption is reduced.

The invention relates to an ultrasonic phased array full-focusing imaging method for acoustic wave multi-path propagation compensation of a layered composite material, which is characterized by comprising the following steps of: arranging an ultrasonic phased array probe with N array elements on a composite material piece to be detected, obtaining complete echo data by taking each array element as a transmitting array element and taking all array elements as receiving array elements in sequence in a full-matrix acquisition mode; a two-dimensional pixel grid is established in an imaging area, a Monte-Carlo perturbation mechanism used for representing the acoustic wave propagation uncertainty in the layered composite material is introduced into a propagation model for each emission array element-receiving array element-pixel point combination, and the acoustic beam emission direction, the propagation path and the equivalent acoustic velocity are subjected to random perturbation, so that the acoustic wave propagation uncertainty in the layered composite material can be represented. Generating a plurality of equivalent sound wave propagation paths, calculating two-way propagation time of each path, and performing weighted statistics on energy contributions of different paths according to array element sound beam directivity to obtain equivalent propagation time delays of pixel points; and performing delay correction on a full-matrix echo signal by using the equivalent propagation time delay, and performing coherent superposition on signals of all transmitting-receiving array element combinations to realize dynamic focusing of a full-pixel grid, and finally reconstructing an ultrasonic full-focusing imaging image with high resolution and high signal-to-noise ratio. The time delay error caused by propagation path deviation and sound velocity non-uniformity in the layered composite material can be effectively compensated, the focusing precision and spatial resolution of full-focusing imaging are improved, meanwhile, an existing TFM imaging frame does not need to be changed, and the method has good engineering implementability and popularization and application value.

The invention discloses an imaging method, system and device for correcting range migration based on frequency domain phase multiplication, and the method comprises the following steps: carrying out the range pulse compression of echo data of each receiving array element in a range frequency domain; performing data preprocessing according to a phase center approximation method to obtain equivalent transmit-receive combined synthetic aperture sonar data; deriving a secondary distance compression item at the reference distance in the two-dimensional frequency domain, and performing secondary distance compression processing; deriving a space-variant migration phase term of range migration correction corresponding to each target with different distances; carrying out filtering processing on the two-dimensional frequency domain sonar data; a filtered result is converted to a range-direction time domain and an azimuth-direction Doppler domain, data of targets at corresponding distances are extracted, and the data extracted each time are combined in sequence; and for the data after range migration correction, azimuth pulse compression is carried out in a range time domain and an azimuth Doppler domain, and the data is converted to a two-dimensional time domain to obtain a sonar image.

The embodiment of the invention provides a transducer echo line sequence test method and a transducer echo line sequence test device, and the method comprises the steps: enabling a detection surface and a horizontal plane to form a first angle in an echo detection state, comparing waveform data of feedback signals obtained by reflecting the ultrasonic signals emitted by the plurality of test array elements through the detection surface with preset qualified data to determine a performance result of the transducer; in the line sequence detection state, a second angle is formed between the detection surface and the horizontal plane, and the actual flight time difference value of each adjacent test array element in the plurality of test array elements is determined according to waveform data of feedback signals obtained by reflecting ultrasonic signals emitted by the plurality of test array elements through the detection surface, and according to a comparison relation between a difference value between the actual flight time difference value and the theoretical flight time difference value and a preset threshold value, whether welding of each test array element is correct or not is determined. Therefore, an echo performance detection function and a multi-array element line sequence detection function can be integrated.

The invention relates to the technical field of underwater acoustic signal processing in a sonar system, in particular to a large-aperture array robust adaptive waveform recovery method based on focusing covariance sparse reconstruction, and the method comprises the steps: carrying out the time-frequency transformation of all array element receiving time domain data, and obtaining array element domain-frequency domain data; constructing sampling covariance matrixes corresponding to different frequency points according to the array element domain-frequency domain data; constructing a multi-frequency-point focusing covariance matrix according to the sampling covariance matrix and the array manifold vector corresponding to each frequency point; constructing a sparse dictionary matrix adaptive to the focusing covariance matrix according to the linear relation between the focusing covariances of the frequency points, and obtaining a sparse expression of the focusing covariance matrix; according to the sparse representation form of the focusing covariance matrix, utilizing a sparse criterion to carry out iterative reconstruction on the focusing covariance matrix; and robust adaptive waveform recovery is carried out by using the focusing covariance matrix after sparse iteration reconstruction. According to the method, the short-time adaptive waveform recovery performance of the large-aperture array is remarkably improved.

The invention discloses an underwater sound environment sensing method based on multi-array-element sparse channel estimation. An underwater sound receiving end receives signals transmitted through an underwater sound multipath channel through a multi-array-element array; performing Hilbert transform on the receiving signal of each array element to obtain an analysis signal, and calculating a cross-correlation function of the analysis signal and the transmitting signal; based on the cross-correlation function, sparse channel parameters, including path amplitude and time delay, of each array element are estimated by adopting an orthogonal matching pursuit algorithm combined with a constant false alarm detection dynamic threshold value; the method comprises the following steps: constructing an array response vector by using sparse channel parameters of a multi-array element array, and searching and estimating angles of arrival, including a direction angle and a pitch angle, of a multipath signal through a spatial spectrum peak value; and based on the arrival angles, amplitudes and time delays of the direct path and the reflection path, inverting an underwater environment structure through a ray acoustic theory, including a reflection point distance and a reflection surface normal vector, so as to realize three-dimensional perception of the underwater reflector. According to the invention, multipath resolution can be improved, and false alarm and missing detection can be effectively reduced.

The invention relates to the technical field of full-focusing phased arrays, and discloses an on-line automatic bar flaw detection method and device based on a full-focusing phased array technology. According to the method, after water immersion type coupling is carried out, array elements of a concave array phased array probe are excited in a plane wave emission mode, multi-angle acoustic beams are formed, and full-matrix echo data are captured; for transverse wave detection, the sound field uniformity is improved by adopting a grouped alternate emission mechanism. Full-domain dynamic focusing is realized through coherent superposition processing, and real-time alarm and mark spraying are carried out on standard exceeding defects in combination with encoder data. The device comprises an off-line automatic calibrator, a conveying roller way, a steel splitting instrument platform, a pinch roll system, a lifting transverse moving platform, an ultrasonic detection host, a mark spraying system, a water circulation system and a PLC system, and efficient and accurate on-line bar flaw detection is achieved.

The invention provides a phased array composite material ultrasonic flaw detector control method and system, and relates to the technical field of ultrasonic detection, and the technical scheme is characterized in that multi-point distance data between a phased array probe and a detected curved surface of a composite material component is acquired; calculating local geometric parameters of a measured curved surface below the phased array probe based on the multi-point distance data; the actual transit time of ultrasonic echoes from a characteristic reflector in the composite material component is obtained; according to the calculated local geometric parameters and the obtained actual transit time of the ultrasonic echoes, the equivalent propagation sound velocity for representing propagation of the ultrasonic waves in the composite material component is determined; and calculating excitation delay time for each array element of the phased array probe according to the calculated local geometric parameters and the determined equivalent propagation sound velocity. The phased array composite material ultrasonic flaw detector control method and the phased array composite material ultrasonic flaw detector control system provided by the invention have the advantages of improving the detection sensitivity and the accuracy of defect evaluation.

The invention discloses a GNSS anti-interference closed-loop phase self-correction method based on deep learning, and relates to the technical field of satellite navigation and artificial intelligence, and the method comprises the steps: obtaining an anti-interference array output signal and weight information through an array antenna and space-time adaptive processing; extracting a carrier-to-noise ratio, a weight phase feature and historical positioning quality, and constructing a deep learning feature vector; reasoning an array element-level phase correction reference quantity by using a multi-layer perceptron model, and realizing accurate phase compensation of an array output signal by combining phase error layered modeling, quick-change disturbance prediction and weight sensitivity estimation; an anti-interference perception observation covariance dynamic scaling mechanism is introduced into RTK positioning calculation; on-line learning and model updating are triggered through a positioning quality evaluation result, so that the system has an adaptive evolution capability. According to the method, the GNSS carrier phase quality and the positioning precision under the strong interference condition can be remarkably improved, deep fusion of anti-interference processing and high-precision positioning is realized, and the method has important engineering application value.

The invention relates to the field of underwater sound signal processing, in particular to an underwater DOA (direction of arrival) estimation method based on graph nerves and a convolutional neural network, which comprises the following steps: 1, establishing a linear array, and enabling narrow-band signals to simultaneously reach an underwater sound array; 2, performing signal preprocessing to obtain a signal covariance matrix, and performing normalization processing; 3, extracting correlation between array elements and spatial features of array signals, and performing data supplementation on sparse linear array information; 4, forming a double-branch structure, enhancing the information aggregation capability, and extracting features from a space path and a time domain path; and 5, constructing an adjacent matrix, filling node features of damaged array elements, adopting a double-branch structure, extracting spatial features and time domain features, carrying out feature integration, and outputting a DOA estimation result. The spatial correlation between array elements is extracted and the array sparsity problem is processed by using the graph neural network, and the time domain features of the signals are extracted in combination with the convolutional neural network, so that more accurate and more robust DOA estimation can be realized under the conditions of low signal-to-noise ratio and array sparsity.

The invention relates to the technical field of array signal processing, in particular to a space-frequency power inversion anti-interference method fusing SMI-LDL decomposition. The problems that an existing space-time anti-interference technology is high in calculation complexity, and real-time processing is difficult to achieve in limited resources of a navigation receiver are mainly solved. The method comprises the following steps: firstly, converting a radio frequency signal received by an array into a digital intermediate frequency signal and carrying out sliding window partitioning processing; windowing the data block and performing FFT (Fast Fourier Transform) to obtain a frequency domain array; then calculating an auto-covariance matrix R of other array elements except the reference array element and a cross-covariance matrix r of the reference array element and other array elements; lDL decomposition is carried out on the auto-covariance matrix to obtain a lower triangular matrix L and a diagonal matrix D, and inversion is carried out on the lower triangular matrix L and the diagonal matrix D respectively, so that huge operand caused by direct inversion of the covariance matrix is avoided; and finally, calculating an optimal weighting vector according to a power inversion criterion, and performing spatial filtering on the frequency domain data.

The invention belongs to the technical field of crossing of information and ocean science and technology, and discloses a UUV broadside parallel array covariance weighted fusion DOA estimation method. The method comprises the following steps: firstly, calculating auto-covariance and cross-covariance matrixes of two sub-arrays, carrying out weighted fusion on covariance matrixes of different sources through differential common-array expansion of a virtual aperture, then reconstructing a complete covariance matrix by respectively adopting a convex optimization method of trace regularization and nuclear norm regularization according to the characteristics of the fused matrix, and finally, carrying out weighted fusion on the covariance matrixes of different sources. The pitch angle and the azimuth angle of the target are jointly estimated by performing subspace decomposition on the constructed extension matrix, and the effectiveness of the method is verified by a simulation result. According to the method, the precision of parameter estimation is improved through data fusion, the degree of freedom is remarkably improved under a small number of physical array elements, high-precision azimuth estimation of the UUV on multiple targets in the underwater environment is achieved, the target detection capacity of the UUV is enhanced, and the method has high engineering application value.

The invention discloses a centralized phased array beam control method and system based on an FPGA, and relates to the technical field of phased array beam control, and the method comprises the steps: carrying out the real-time iterative operation through an incremental adaptive correction kernel in a centralized control FPGA, and obtaining an amplitude-phase correction increment and a corresponding target effective frame number; performing increment differential coding on the amplitude-phase correction increment and the corresponding target effective frame number in a centralized control FPGA (Field Programmable Gate Array) to generate an increment differential beam control message; sending the increment difference beam control message to an array element FPGA (Field Programmable Gate Array) at the front end of an array, executing frame-level atom switching according to a target effective frame number, and fusing the amplitude-phase correction increment and a locally stored old beam control weight in the switching process to obtain a final array element beam control weight; generating a real-time beam control directional diagram based on the final array element beam control weight; the stability and convergence precision of beam control are improved, and the bandwidth requirement of a control link is reduced.

The invention relates to a positioning method and device based on an array information source, computer equipment and a storage medium, and the method comprises the steps: obtaining a time domain oscillogram of the information source based on a pre-installed array; the array comprises a plurality of array elements distributed according to a preset form; carrying out peak point search on the time domain oscillogram to obtain position coordinates of each time delay peak point; based on the position coordinate of each time delay peak point, extracting a time delay curve corresponding to the information source; and according to a pre-constructed time delay curve model, solving the time delay curve to obtain target position information corresponding to each information source. According to the method and the device, the problems that environment data needs to be actually measured in advance, the calculation amount is large and the requirement of real-time calculation is difficult to meet in the prior art are solved, and the time delay curves of a plurality of information sources can be simultaneously detected through peak point searching and extracting; and the time delay curve is solved according to the pre-constructed time delay curve model, so that the accuracy and the stability of calculating the target position information of each information source are improved, and the requirement of real-time calculation is met.

A precoding method, performed by a reconfigurable intelligent surface (RIS) array, includes determining a phase shift list corresponding to the RIS array, in which the phase shift list includes at least one row of phase shift sequence, the phase shift sequence includes a phase shift of each RIS array element in the RIS array, each row of phase shift sequence is configured to cause the RIS array to reflect an incident signal along a pair of reflection angles, and each row of phase shift sequence corresponds to one index value; acquiring a first index value from a user equipment (UE); determining a first phase shift sequence corresponding to the first index value from the phase shift list; and precoding the RIS array by configuring the phase shift of each RIS array element in the RIS array according to the first phase shift sequence.

A photonic integrated circuit (PIC) is disclosed herein. The PIC can include a substrate, a main optical waveguide supported by the substrate. The main optical waveguide can be in communication with an electromagnetic radiation source, and configured to receive electromagnetic radiation from the electromagnetic radiation source. A first branch optical waveguide can be optically coupled to the main optical waveguide at a first location. An optical phased array (OPA) can include plurality of array elements, each having an optical antenna and an optical phase modulator. At least some array elements within a first subset of the plurality of array elements can be optically coupled to the first branch optical waveguide wherein locations of at least some of the plurality of array elements are aperiodic in one or more directions on the substrate.

The invention relates to the technical field of nondestructive testing, and discloses a wind power casting nondestructive testing method and system, and the method comprises the steps: obtaining three-dimensional surface point cloud data of a to-be-tested wind power casting, employing a sound ray tracking algorithm to calculate a sound path distance and a propagation angle between each imaging point and each array element in an imaging grid, and generating a focusing rule; performing full-matrix data acquisition to obtain an original time domain signal, performing wavelet packet decomposition on the original time domain signal, and determining the peak kurtosis of the original time domain signal; carrying out weighted coherent superposition on any imaging point in the imaging grid based on a focusing rule and an original time domain signal, and reconstructing an image; and identifying a defect indication area in the reconstructed image, calculating an average spatial frequency gradient, determining the number of iterations of a deconvolution algorithm, performing deconvolution processing on the image of the defect indication area, and determining the contour and size of the defect. According to the method, the defect signal can be effectively enhanced, the noise interference is inhibited, and the accuracy of the defect detection result of the wind power casting is improved.

The invention discloses a subarray beam domain high-resolution spatial spectrum estimation method under an under-snapshot condition. The method comprises the following steps: step 1, uniformly dividing N-element towed linear array sonar array element frequency domain data into K subarrays; 2, performing beam forming processing on each piece of sub-array data to obtain a beam domain result of each sub-array; 3, calculating a beam domain steering vector; 4, calculating a beam domain covariance matrix; 5, realizing signal and noise power parameter estimation based on a sparse approximate minimum variance criterion; and 6, carrying out frequency band weighted summation on the estimated signal power to obtain a broadband DOA estimation result. According to the method, sub-array division dimensionality reduction, beam domain coherent processing and sparse parameter iteration estimation are combined for processing, the method has the advantages of low snapshot adaptability and high anti-interference capability, the method can be used for near-field weak signal detection of the towed linear array under multi-target interference, and effectiveness is verified through marine test data.

The embodiment of the invention provides a laser scanning method and device, laser communication equipment and a laser communication system. The laser scanning method comprises the steps that a pointing center point where a target object is located is determined according to ephemeris information of the target object; the rotation angles of a plurality of array elements in the transceiving array are controlled, so that light beams emitted by the array elements are subjected to incoherent superposition to form scanning light spots, and the light beams emitted by the array elements are obtained through deflection of incident light of the transceiving array; scanning in a preset range pointing to the center point by adopting the scanning light spot, and controlling the rotation angles of a plurality of array elements in the transceiving array to enable light beams emitted by the plurality of array elements to be coherently superposed to form a scanning light beam under the condition that the first position of the target object is scanned; and scanning the first position with the scanning beam to capture the target object. The non-coherently stacked scanning light spots are firstly used for coarse positioning, and then the coherently stacked scanning light beams are used for fine positioning, so that efficient, rapid and accurate capturing of the rapidly moving target is realized.

The electronic equipment provided by the invention comprises a frame and an antenna assembly, and the frame comprises a first edge and a second edge which are connected in a bending manner; the antenna assembly comprises a first radiator, a second radiator and a signal source, and the first radiator is arranged on the first side of the frame; the second radiator is arranged on the second side of the frame; the signal source is configured to be electrically connected with the first radiating body and the second radiating body in the first working mode so as to excite the first radiating body and the second radiating body to receive or emit a satellite communication frequency band at the same time, so that the first radiating body and the second radiating body form an array element arranged on the intersection side of the electronic equipment, and the antenna assembly is an array antenna; the formation of crossed or orthogonal radiation energy is facilitated, and the circular polarization performance of satellite communication or navigation of the electronic equipment is improved.

The invention discloses a multi-antenna anti-interference method, multi-antenna anti-interference equipment, a storage medium and a program product, and aims to solve the contradiction between poor performance of a sub-array architecture and overhigh calculation complexity of a full-array architecture. The method comprises the following steps: carrying out global synchronization processing by taking all array elements as a whole, and determining a shared synchronization point; the array is divided into a plurality of sub-arrays, each sub-array uses the synchronization point and independently calculates a set of anti-interference weights, and accordingly, sub-array output signals subjected to interference suppression are generated; and determining a group of optimal merging coefficients through an optimization algorithm with the purpose of maximizing the final signal quality, and performing weighted merging on all sub-array output signals to generate a final output signal. In addition, the method also comprises a mechanism for periodically updating an anti-interference weight and a merging coefficient. According to the method, through step-by-step processing and optimal combination, the calculation complexity is effectively reduced, meanwhile, the performance loss of a traditional sub-array scheme is avoided, and the anti-interference performance of a system in a dynamic complex environment is improved.

The invention provides a surface crack defect identification method and device based on machine learning, and relates to the technical field, and the method comprises the following steps: carrying out geometric scanning on a workpiece curved surface through an array type alternating current electromagnetic field sensor, and reconstructing a probe geodesic track in combination with an inertial measurement unit and a photoelectric encoder; a curved surface parameter field and an array element pose table are generated through fitting, and collected three-axis magnetic induction intensity vectors are converted into local components aligned with the crack length direction and the crack depth direction through direction cosine projection; the processed signals are demodulated and subjected to speed correlation correction to obtain a multi-frequency amplitude-phase feature cluster, and a physical consistency feature vector and geometric priori are generated by combining a curved surface forward model and a three-dimensional grid response library. And a machine learning model is obtained through joint loss training, butterfly diagram interpretation and pseudo defect decoupling are introduced in an inference stage to realize secondary check, and a crack existence label and a crack geometric parameter set are output. According to the method, the precision of identifying the surface crack of the large-curvature metal object can be improved.

The invention relates to a satellite mobile communication antenna adaptive beam prediction and control method, which comprises the following steps: acquiring motion data of a user terminal, signal state data of a satellite antenna receiving end, satellite-ground attitude data of a satellite and environment interference data of the ground, and processing to obtain a multi-source data set; the method comprises the following steps: constructing a geometric correlation feature, a gain correlation feature, a sidelobe correlation feature and an array element phase correlation feature of a multi-source data set and beam parameters, constructing a correlation matrix, and splicing the correlation matrix with the multi-source data set to obtain a complete input feature set; a beam prediction model is constructed, and training and verification are carried out; and converting the output of the beam prediction model into a control signal to drive an antenna array element to adjust, correcting model parameters based on the link signal-to-noise ratio, the bit error rate and the throughput collected by the user terminal, and splitting / combining the beam. According to the method, the beam parameter prediction precision and environment adaptability can be improved, interference is suppressed, resource allocation is optimized, and stability and high efficiency of satellite communication in a high-dynamic complex environment are guaranteed.

The invention discloses a novel non-uniform array-based signal source positioning method, which comprises the following steps of: determining an actual array element position through flexible array distribution according to environmental characteristics when a target signal reaches the ground; calculating a virtual domain differential common array, determining the position of a virtual array element, constructing a signal model, and calculating a covariance matrix; vectorizing the covariance matrix, and removing redundancy to obtain an equivalent receiving signal of the virtual domain; performing spatial smoothing processing on the equivalent covariance matrix of the virtual domain to obtain a smoothed data correlation matrix; after characteristic decomposition, constructing a signal subspace; and finally, dividing signal subspaces based on an ESPRIT algorithm idea, and calculating a rotation matrix to obtain an estimated angle. The designed non-uniform array can flexibly adjust the array element layout according to complex environment characteristics, the flexible array layout strategy improves the freedom degree of the array, the spatial sampling and signal analysis efficiency is optimized, meanwhile, the calculation path is simplified, and the algorithm complexity is reduced.