116 results about "Phase matrix" patented technology

The invention relates to the technical field of laser control, and provides a high-dynamic-range multi-channel laser interference control method and related equipment. Channel signals of a plurality of target channels are obtained in real time according to a plurality of preset photoelectric detectors, time domain-frequency domain-space three-dimensional sampling is performed on the channel signals to construct an original tensor, joint optimization processing is performed on the original tensor to obtain a noise reduction tensor, phase unwrapping is performed on the noise reduction tensor to obtain an absolute phase matrix, and the absolute phase matrix is subjected to noise reduction processing to obtain an absolute phase matrix. Performing dynamic range expansion on the absolute phase matrix to obtain an enhanced phase matrix, performing multi-wavelength calculation and environment compensation on the enhanced phase matrix to obtain a distance matrix, and performing vibration compensation on the distance matrix to obtain a piezoelectric driving signal. According to the channel laser interference control method, through a series of advanced algorithms and processing means such as multi-dimensional signal acquisition, combined noise reduction optimization, precise phase unwrapping, dynamic range expansion and vibration compensation, comprehensive improvement of laser interference measurement signals is realized.

The invention discloses a perception-assisted vortex electromagnetic wave anti-interference method, device and system, and the method comprises the steps: estimating the position information of an interference source based on an interference signal received by a transmitting end through employing an EMUSIC combined RSS algorithm, and obtaining the state information of an interference channel according to the position information; based on known complete channel state information of a receiving and transmitting end, designing a receiving and transmitting joint phase matrix, and eliminating inter-mode interference; according to the estimated interference channel state information, the sending end decomposes an interference signal to each mode, and selects L modes with the minimum interference influence as carriers for multiplexing transmission of L paths of signals; the transmitting end carries out power distribution on the L-path multiplexing signals so as to realize maximum spectrum efficiency under interference; the receiving end carries out modal solution on the received signal and recovers each modal signal so as to realize interference suppression; the problem that the anti-interference effect of vortex electromagnetic wave communication is poor under the condition that interference channel state information is unknown is solved, and the reliability of a communication system is improved.

The present invention relates to an optical fiber synaesthesia data processing module, a monitoring device and a monitoring and positioning method. The module comprises a mainboard chip, wherein the mainboard chip is used to calculate a two-dimensional phase matrix and a two-dimensional intensity matrix in high-purity data form from acquired DAS digital signal data and DVS digital signal data. The monitoring and positioning method comprises fusing the phase characteristics of the DAS and the intensity characteristics of the DVS, enhancing sensitivity through coherent interference, performing noise suppression on continuous multimodal signals through phase compensation to obtain a fusion matrix, extracting and calculating the characteristic value of each disturbance position, and screening out significant disturbance positions through threshold detection. The method also maps time delay to spatial coordinates through a formula, and the final disturbance position is represented by a set of coordinates.

The invention discloses a micro-action three-dimensional sensing method and system based on WiFi channel state information, and relates to the technical field of wireless signal sensing. The method comprises the following steps: collecting CSI data, preprocessing, and outputting a CSI amplitude matrix and a phase matrix; the phase difference of adjacent antenna pairs is used for counteracting common noise, a linear mapping model of displacement increment and phase change is constructed, and displacement calculation is achieved; designing a space-time TransFormer model, fusing CSI amplitude, phase difference, displacement increment and Doppler frequency shift characteristics through a time sequence and space joint attention mechanism, and outputting an initial three-dimensional trajectory; optimizing the initial three-dimensional trajectory by using a self-supervised learning mechanism based on physical consistency constraint; and finally, constructing a dynamic path filter, carrying out real-time filtering correction on the optimized trajectory in combination with extended Kalman filtering and Bayesian multipath fusion, and outputting a final three-dimensional trajectory, thereby realizing high-precision and low-delay trajectory reconstruction without labeling in a complex scene.

The present disclosure provides a coupler device for use in a phased array system. The coupler device includes a weighting network and a phase matrix network. The weighting network is configured to convert and amplify an input signal to obtain eight intermediate amplified signals. The phase matrix network is coupled to the weighting network, and is configured to generate eight output signals based on the eight intermediate amplified signals. An output array of the eight output signals are obtained by performing a matrix multiplication of an array of the eight intermediate amplified signals with a phase matrix of the phase matrix network.

The invention relates to a liquid crystal phased array dynamic star finding control method based on holographic phase coding. The method comprises the following steps: acquiring an expected beam pointing angle of a target satellite relative to an antenna array; generating a two-dimensional phase matrix suitable for a liquid crystal phased array based on the expected beam directional angle; performing temperature compensation on the two-dimensional phase matrix, converting the two-dimensional phase matrix into a digital driving level, and loading the digital driving level to a liquid crystal driving circuit; a radio frequency beam pointing to the expected beam pointing angle is formed through radiation of the liquid crystal phased array antenna panel; and beam pointing errors are detected in real time according to downlink signal characteristics and are compensated. The liquid crystal phased array dynamic star finding control method based on holographic phase coding shows remarkable technical progress and practical advantages in multiple aspects; according to the method, a high-performance and high-reliability dynamic beam pointing system is constructed through key technologies such as holographic phase coding, real-time temperature compensation, high-speed calculation and closed-loop feedback, and the method is particularly suitable for high-dynamic scenes such as high-speed mobile carriers and low-orbit satellite communication.

The invention provides a metasurface-based method for performing effective phase encoding on incident light at any space angle, and belongs to the technical field of micro-nano optics and integrated photonics. According to the invention, the metasurface atomic displacement is associated with any predefined angle of the space incident light, and the gradient descent algorithm is adopted to optimize the phase matrix, so that effective phase coding in the whole angle space is realized. As a concept verification, the invention shows an omnidirectional angle multiplexing super-structure holography for any space light incidence, successfully realizes an augmented reality holographic image with as many as 22 channels, and proves that meaningful phase coding is realized by any incident angle degree of freedom, and the holographic image has the advantage of high signal-to-noise ratio. The arbitrary full-angle multiplexing holography shows good application potential in practical application aspects such as data storage, virtual / augmented reality and optical encryption.

The embodiment of the invention provides a millimeter wave radar transmit-receive array error calibration method and related equipment. The method comprises the following steps: acquiring a target virtual channel complex value matrix; determining a target calibration phase matrix according to the target virtual channel complex value matrix; determining a target amplitude-phase calibration factor matrix according to the target virtual channel complex value matrix and the target calibration phase matrix; executing a target phase calibration operation according to the target calibration phase matrix; and executing a target amplitude and phase calibration operation according to the target virtual channel complex value matrix and the target amplitude and phase calibration factor matrix. In this way, the phase error between the transmitting antennas caused by the machining process and the like can be compensated, so that the transmitting gain after synthesis is improved, the probability of distortion of spatial synthesis of a transmitting directional diagram is reduced, the amplitude-phase error between the MIMO virtual arrays is compensated, the accuracy of an angle measurement result is improved, and therefore the spatial synthesis precision is improved; and the radar detection quality and detection precision are improved.

The invention relates to the technical field of radar and communication, and particularly discloses an integrated base station calculation unloading method based on IRS assistance, which comprises the following steps of: unloading received data to a server for centralized processing by means of an intelligent reflection surface (IRS) technology in a base station near-end high-performance edge server environment, and constructing a radar detection and communication uplink joint receiving system; and then, under receiver power constraint, frequency band energy constraint and IRS constant modulus constraint, with minimization of total energy consumption of the system as a radar point target, constructing a calculation unloading problem model so as to perform synchronous optimization on receiving vector design. And finally, decomposing the calculation unloading problem model, and respectively solving a radar phase matrix and a communication receiving vector IRS phase matrix. According to the method, the overall performance of each functional module is improved, the adaptive capacity and the anti-interference capacity of the system in an actual complex environment are enhanced, and the global optimal balance of the communication rate, the sensing precision, the time delay and the energy efficiency is realized.

The invention relates to a coupler device. The invention provides a coupler device used in a phased array system. The coupler device includes a weighting network and a phase matrix network. The weighting network is configured to convert and amplify an input signal to obtain eight intermediate amplified signals. The phase matrix network is coupled to the weighting network and is configured to generate eight output signals based on the eight intermediate amplified signals. An output array of the eight output signals is obtained via performing a matrix multiplication of the array of the eight intermediate amplified signals with a phase matrix of the phase matrix network.

The invention discloses a GNSS (Global Navigation Satellite System) signal sparse compression capture method for a low-correlation measurement matrix, which comprises the following steps of: firstly, constructing a code phase matrix and a frequency offset matrix, and carrying out sparse transformation on a downsampled GNSS signal to obtain a correlation matrix; the method comprises the following steps of: firstly, carrying out iterative optimization on a measurement matrix by taking a Gramb matrix as a matrix, then taking a Frobenius norm of a difference between the Gramb matrix and an equiangular tight frame matrix as a target function, alternately using singular value decomposition (SVD) and a shrinkage operator to carry out iterative optimization on the measurement matrix, and carrying out compression measurement on a correlation matrix through the optimized measurement matrix. Secondly, a correlation matrix of compression measurement is quickly and accurately reconstructed by using a least square operator and an orthogonal matching pursuit algorithm; and finally, when the peak value ratio of the primary peak to the secondary peak of the reconstructed correlation matrix is greater than a threshold value, outputting code phase time delay and Doppler frequency offset corresponding to the primary peak. And if the ratio of the primary peak value to the secondary peak value of the reconstructed correlation matrix is smaller than the threshold value, capturing the GNSS signal again. According to the method, the maximum correlation coefficient and the average correlation coefficient of the measurement matrix can be reduced, the GNSS signal capturing sensitivity is improved, and hardware resources in the signal capturing process in a GNSS receiver can be reduced.

The invention discloses an SAR interference suppression method based on echo asynchronous pulse detection, and the method comprises the steps: constructing a local odd-even channel comparison mode or a global reference pulse comparison mode, directly carrying out the processing in a time domain of an SAR echo data matrix, determining a corresponding mode through the energy characteristics of an interference signal, and carrying out the detection of the interference signal. Constructing a channel difference mask and an outlier mask in the corresponding mode, and finally obtaining an interference mask in each mode; establishing a mask matrix based on the interference mask, and processing the amplitude matrix to obtain an amplitude matrix after interference suppression processing; and combining the phase matrix to obtain a final non-interference SAR echo data matrix. According to the method, interference artifacts brought to SAR image data by the forwarding type coherent interference can be suppressed, and the phenomenon of sidelobe deterioration of strong scattering points in the image after frequency domain notch is eliminated, so that the forwarding type coherent interference existing in the SAR echo data is effectively suppressed.

The invention discloses a rectangular plane phased-array antenna rapid phase matching resolving system and method based on an FPGA, and relates to the technical field of phased-array antenna beam pointing control. According to the scheme, phase complementation operation in beam pointing control is converted into normalization processing of a numerical value 1, and a row and column step-by-step computing architecture is adopted; and the FPGA resource consumption is greatly reduced while the phase resolving precision is ensured. Input azimuth angle and pitch angle information is converted into corresponding trigonometric function values by combining a look-up table method with pre-stored trigonometric function values, phase difference information between adjacent array elements is obtained after the trigonometric function values are multiplied by corresponding frequency points and array element spacing information, a row / column phase matrix is generated through accumulation operation, combination operation is carried out, and the array element spacing information is obtained. And finally, phase matching calculation of more than 1024 array elements is completed at a microsecond level.

The invention relates to the technical field of intelligent peripherals, in particular to a user-oriented interaction information expansion method, which comprises the following steps that: each keycap acquires displacement and pressure, generates an event packet, uploads the event packet through an optical wireless link, and obtains a clock and supplies power; constructing a keycap graph by a master controller, obtaining an intention vector through graph convolution and pooling, inputting the intention vector into a cyclic network to generate a pixel matrix and a phase matrix, and downlink after Bernoulli sparse coding; performing key cap side orthogonal matching pursuit decoding and four-round gradient optimization, and outputting a differential pixel set, a differential phase set and a synchronization mark; the master control refreshes the digital micromirror array and the ultrasonic phased array in a differential manner, locks a frame-level time sequence through a synchronization pulse, compensates link delay and hardware drift in real time based on Kalman filtering, and keeps an optical-acoustic alignment error to be less than 100 microseconds; degradation monitoring enables a link to be automatically switched to a pre-carved character layer and to be quickly recovered when the link is abnormal, and a keyboard interaction information expansion scheme with low delay and high consistency is provided.

The invention discloses a wireless communication transmission method based on an intelligent reflecting surface, and relates to the technical field of wireless communication transmission, and the method comprises the steps: carrying out the time sequence modeling through employing an LSTM model, generating a channel characteristic model, generating an IRS initial reflection phase matrix based on the model, and optimizing the wireless channel configuration; dynamically adjusting a reflection phase matrix through a convex optimization algorithm, and continuously updating an IRS configuration scheme by taking maximization of a main channel gain and weakening of secondary channel interference as targets; on this basis, in combination with a channel characteristic model and an updated IRS configuration scheme, communication requirements between devices in an industrial environment are analyzed, link priorities are calculated, a low-delay communication topology is constructed, IRS resources are allocated through the priorities, and the signal quality of delay-sensitive task links is enhanced; furthermore, real-time data flow information is collected under the optimized topological structure, a task scheduling model is constructed by adopting a PPO reinforcement learning algorithm, a task transmission sequence and a resource allocation strategy are dynamically adjusted, and the resource utilization rate is improved.

The application relates to the technical field of signal processing, in particular to a Beidou satellite signal acquisition method and device, wherein the method comprises the following steps: acquiring a target satellite signal; calculating a covariance matrix of the target satellite signal; acquiring a target hyperparameter corresponding to the target satellite signal; constructing a propagator according to the covariance matrix and the target hyperparameter; and calculating a frequency matrix and a phase matrix of the target satellite signal according to the propagator, so that the number of Beidou satellite signals does not need to be known in advance, the frequency and the phase of the Beidou satellite signals can also be calculated, the acquisition of the Beidou satellite signals is realized, the problem of poor acquisition performance of the existing Beidou satellite signals is solved, and the acquisition performance of the Beidou satellite signals is improved.

The application provides a two-stage denoising neural network-based direction of arrival estimation method, device and electronic equipment. The method comprises the following steps: constructing an array receiving signal matrix and extracting an amplitude matrix and a phase matrix according to the receiving signal of a linear uniform array; extracting the median of all elements in the amplitude matrix and performing range compression to obtain an amplitude statistical feature; inputting the amplitude statistical feature into an adaptive threshold subnetwork to generate a compression coefficient; performing amplitude limiting processing on the amplitude matrix by using the compression coefficient, combining the new amplitude matrix and the phase matrix into a limited amplitude signal matrix; constructing a bounded covariance matrix with a second-order statistical form based on the limited amplitude signal matrix; inputting the bounded covariance matrix into a complex residual convolution subnetwork to generate a noise residual matrix; obtaining an equivalent covariance matrix based on the bounded covariance matrix and the noise residual matrix; and performing spatial spectrum search on the equivalent covariance matrix by using a MUSIC method to obtain a direction of arrival estimation result of a signal source.

The present invention proposes a transmission scheme design method and system for a RIS-assisted sparse federated learning network. The present invention first models the local gradient information sparsity rate and constructs a transmission scheme design optimization problem for maximizing federated learning performance. By finding the second-order derivative of the optimization problem with respect to the transmission code length, it is proved that the optimization problem is a convex problem with respect to the transmission code length, and then the KKT condition is used to derive the closed-form solution of the optimal code length, and based on this, the dimension reduction of the optimization problem is achieved. Then, the optimization problem after dimension reduction is solved based on the block coordinate descent algorithm, and an efficient design scheme for coding rate, transmission power and RIS phase matrix is ​​obtained. The present invention significantly improves the performance of RIS-assisted sparse federated learning networks, can be widely used in many practical application scenarios, and has extremely high scalability and economic benefits.

The invention provides a holographic photoetching mask design method based on an alternating projection algorithm, and the holographic photoetching resolution is improved. According to the method, a pixel representation mask is adopted, and finite series discretization is carried out on an amplitude matrix and a phase matrix corresponding to the mask in combination with mask manufacturing constraint conditions. In order to avoid stagnation in the optimization process, a step-by-step discretization strategy is adopted. And evaluating the imaging quality of the designed mask through a relative pattern error between the photoresist contour and the target pattern. According to the method, the alternative projection iterative algorithm and the advanced mask alignment photoetching technology are combined, different initial conditions are adopted according to mask types, and holographic photoetching mask design of any mask pattern can be effectively achieved.

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 provides a kind of submarine pipeline micro leakage monitoring method.The method comprises: obtaining the acoustic vibration signal of distributed optical fiber sensor arranged along submarine pipeline, constructing two-dimensional space-time strain phase matrix;Two-dimensional space-time strain phase matrix is respectively input into the space spectrum attention flow branch and time series attention flow branch of double flow depth neural network;Wherein, the space-frequency domain feature map after suppressing low-frequency environmental noise is output by space spectrum attention flow branch;The time series feature vector is output by time series attention flow branch;Space-frequency domain feature map and time series feature vector are input into feature fusion module to carry out cross-dimension feature fusion step, and the micro leakage occurrence probability of each spatial position channel along submarine pipeline is output;Based on micro leakage occurrence probability, space integration anomaly detection algorithm based on double sliding window is used for space-time joint determination.The application realizes high sensitivity extraction and high reliability discrimination of submarine pipeline micro leakage signal in complex marine environment.

The invention discloses a sound sensing method, apparatus and device, and a computer readable storage medium. The method comprises the steps of obtaining first mixed signals obtained by reflection after a radar transmits first frequency modulation pulse signals; performing discrete Fourier transform on each first mixed signal, and extracting to obtain a first phase set corresponding to each first distance unit in the first phase matrix; extracting a first sound signal containing noise from each first mixed signal according to the first phase set corresponding to each first distance unit; performing compressed sensing on the first sound signal to obtain a first compressed signal; and performing sound sensing on the first compressed signal by using a target sound sensing model obtained based on generative adversarial network training. According to the method and the device, the processing capability of the target sound sensing model on the problems of baseline fluctuation, nonlinear mapping and the like existing in the original sound sensing signal is ensured, the calculation complexity of the model is reduced, and the robustness of the model is improved.

The utility model provides a cascade implementation device of an attenuation phase shift matrix, belongs to the technical field of matrixes, and solves the problems that in hot weather, the air temperature is higher, a better heat dissipation effect cannot be achieved, and the heat dissipation efficiency is reduced. The cascade implementation device of the attenuation phase shift matrix comprises a bottom plate, a fixing frame is slidably connected to the bottom plate, a cascade implementation body is placed in the fixing frame, heat dissipation openings are formed in the left side and the right side of the cascade implementation body, a switch button, a communication interface and a control panel are arranged on the cascade implementation body, and a plurality of cooling fins are fixed to the fixing frame. A cooling groove is formed in the fixed frame, refrigeration sheets are fixed in the cooling groove and the cooling sheets, a placing opening is formed in the upper end of the fixed frame, and a cover is connected to the placing opening through a hinge. The LED lamp has the advantages that air is not needed for heat dissipation, and the heat dissipation efficiency is improved.

The application discloses a bed human posture recognition method based on multi-level label collaborative sensing, and belongs to the technical field of radio frequency identification, and comprises the following steps: acquiring RFID phase data to be recognized; segmenting the RFID phase data to be recognized based on a time window to obtain a phase array; performing phase unwrapping on the phase array based on a sliding window to obtain an unwrapped phase matrix; classifying the unwrapped phase matrix based on distance to obtain RFID labels, including barrier labels, near neighbor labels and far end labels; selecting a preset number of far end labels as a reference label set; performing phase data alignment operation on all the unwrapped phase arrays to obtain an input phase matrix; and performing classification based on a trained two-stage neural network to obtain a bed human posture recognition result. The application solves the problems that the prior art cannot recognize complex limb postures on a bed and it is difficult to distinguish supine and prone postures when a user raises arms or approaches the head.

The invention relates to the technical field of power electronics, and discloses a control method, a control system and a controller of a single-stage three-phase matrix converter and the single-stage three-phase matrix converter. And when the grid-side voltage sampling value meets the condition corresponding to the working sector range, the current working sector is further determined according to the grid-side voltage sampling value, so that the current value of the determined sector can still meet the requirement when three-phase imbalance occurs, and the control effect is improved.

The invention discloses a three-frequency satellite station multi-source data fusion satellite correction method, system and device and a storage medium, and the method comprises the steps: obtaining a plurality of frequency band signals, and setting the transmitting power proportion of each frequency band through a beam forming device; initializing a phase matrix of the beam forming device to obtain an initial beam pointing satellite, establishing a communication link between the satellite and the portable station, and synchronizing timestamps and phase references of a plurality of frequency band signals; the method comprises the following steps: acquiring communication data and environmental data of a portable station, preprocessing the communication data and the environmental data, and performing feature extraction on the preprocessed communication data and environmental data to obtain feature vectors; integrating the feature vectors to obtain a multi-dimensional feature vector; analyzing the multi-dimensional feature vector by using a fusion model, and determining a satellite correction parameter; and according to the satellite correction parameters, dynamically adjusting a phase matrix of the beam forming device, optimizing beam pointing to a satellite, realizing satellite correction, and shortening satellite convergence time.

This invention relates to the field of performance optimization technology, specifically to a method for polarization sensitivity testing and parameter optimization of a non-polarized liquid crystal focusing lens. The method includes the following steps: collecting test information to establish a basic driving condition set; collecting light field interference fringe images to generate a phase delay matrix set; subtracting the elements of the phase matrix to obtain a deformation stress distribution matrix; determining the numerical magnitude relationship to obtain a stress over-limit judgment and characterization set; and adjusting the voltage specifications to generate a set of independent dual-layer adjustment commands. In this invention, basic driving conditions are established by extracting allowable stress and interlayer elastic parameters; the light intensity distribution is analyzed and the phase state is compared to extract deformation; global characterization scalars are calculated to determine over-limit actions; pulse width voltage is readjusted to issue commands; and based on full-aperture interferometry and dual-layer differential comparison, interlayer coupling stress is quantified and perceived, constructing a dynamic adjustment closed loop for polarization response fluctuations and rotational deviations.

The invention discloses a hybrid intelligent reflector system based on FPGA centralized control. The system comprises a reflective array layer, a control layer, a communication feedback layer and an energy management module. The reflective array layer reflects the incident wave signal to a target direction through active amplification and phase adjustment; the control layer adopts an FPGA centralized control structure, establishes a channel model based on channel state information, executes a beam forming algorithm and phase matrix calculation, generates a target phase control matrix and a power distribution scheme, and adjusts a gain coefficient of the reflective array layer; the communication feedback layer extracts channel estimation parameters and carries out channel data reconstruction; and the energy management module transmits a real-time load signal of the reflective array layer to the control layer, receives a control level signal of the control layer, and cooperatively adjusts the power and phase of the reflective array layer. According to the invention, on the basis of a centralized control architecture and an energy adaptive management mechanism of the FPGA, signal amplification compensation, intelligent beam direction regulation and control and dynamic power distribution are realized.

The application relates to a holographic phase coding-based liquid crystal phased array dynamic satellite searching control method, which acquires an expected beam pointing angle of a target satellite relative to an antenna array; generates a two-dimensional phase matrix suitable for a liquid crystal phased array based on the expected beam pointing angle; performs temperature compensation on the two-dimensional phase matrix and converts the two-dimensional phase matrix into digital driving levels, which are loaded to a liquid crystal driving circuit; forms a radio frequency beam pointing to the expected beam pointing angle through a liquid crystal phased array antenna panel; and detects a beam pointing error in real time according to a downlink signal characteristic and performs compensation. The holographic phase coding-based liquid crystal phased array dynamic satellite searching control method exhibits significant technical progress and practical advantages in multiple aspects; the method constructs a high-performance and high-reliability dynamic beam pointing system through key technologies such as holographic phase coding, real-time temperature compensation, high-speed calculation and closed-loop feedback, and is particularly suitable for high-dynamic scenes such as high-speed mobile carriers and low-orbit satellite communication.

The invention relates to the field of radar information, in particular to a triangular array digital array space zero-fill interpolation 3D-FFT direction finding method, which comprises the following steps of: firstly, respectively carrying out range direction FFT on each channel of a triangular array phased array to obtain frequencies of other-source radiation signals and amplitude phases of each channel corresponding to each frequency; the method comprises the following steps: constructing a phase matrix, carrying out spatial zero-fill interpolation, carrying out spatial row-direction FFT and column-direction FFT to obtain a signal spatial spectrum, searching a spectrum peak to obtain a spectrum peak position, and carrying out cubic spline interpolation on the spectrum peak to obtain an accurate arrival direction and an accurate elevation angle of the other-source radiation signal.