965 results about "Phase error" patented technology

The invention provides a satellite-borne multi-band synthetic aperture radar signal processing optimization method and system, and relates to the technical field of signal processing, and the method comprises the steps: obtaining original echo data of a satellite-borne multi-band synthetic aperture radar, carrying out Doppler center frequency estimation, carrying out two-dimensional matrix product operation, and obtaining compensation echo data; distance direction position information and scattering intensity information are obtained based on a distance direction matching filtering algorithm of sub-band decomposition; determining spatial distribution density, performing adaptive block processing, and performing phase error modeling in each block to generate a continuous phase correction function; performing wavelet domain convolution operation to obtain corrected echo data, obtaining a multi-band two-dimensional image, extracting a multi-dimensional feature vector through a deep neural network, performing weight learning, performing nonlinear weighted fusion, and performing adaptive histogram equalization enhancement to determine a synthetic aperture radar imaging result.

A transmission tower deformation monitoring device based on a phased array radar technology relates to the field of irregular contour metering, and comprises a map construction module used for constructing a regional digital map; the boundary determination module is used for near-field region boundaries; the signal acquisition module is used for acquiring a near-field echo signal of a near-field region through a narrow beam and acquiring a far-field echo signal of a far-field region through a wide beam; the calibration table construction module is used for constructing a signal intensity comparison table; the data processing module is used for determining effective monitoring data; the error calculation module is used for performing error calculation on the effective monitoring data to obtain a phase error and an amplitude error; and the parameter determination module is used for determining iron tower deformation parameters. According to the invention, the accuracy of transmission tower deformation monitoring can be improved.

The invention relates to the technical field of high-speed digital interfaces, and discloses a JESD204B multi-device deterministic delay synchronization system and method based on dynamic clock phase compensation, and the system comprises a main node which generates and dynamically distributes clock signals, and constructs a dynamic clock tree structure; the slave equipment is used for realizing cascade error elimination through a distributed compensation mechanism; the dynamic phase compensation engine adopts a hybrid phase detection framework and is combined with a digital-to-time converter (TDC) and an analog phase-locked loop (PLL); and the environment parameter compensation module is used for collecting temperature, voltage and operation time in real time, and calculating phase compensation quantity through a formula that delta phi = alpha * (T-T0) + beta * (V-V0) + gamma * delta t. On the aspect of synchronization precision, the phase error of a single device can be smaller than or equal to + / -200ps, the strict scene requirement is effectively met, the environment adaptability is high, the defects of traditional fixed compensation can be overcome, cascade error accumulation can be efficiently restrained through distributed compensation of slave devices, and on the aspect of real-time performance, an online calibration module can conduct real-time calibration without interrupting services.

The invention provides a medical RFQ accelerator low-level signal phase stability control method and system. The method comprises the following steps: constructing a time-frequency energy spectrum feature vector based on wavelet packet transformation; extracting a second disturbance feature based on a lightweight convolutional neural network and an attention mechanism; constructing a phase dynamic trend prediction module based on a long short-term memory network, and obtaining a first prediction phase error; constructing a phase compensation module based on a residual control network to obtain a second phase compensation amount; and outputting a real-time driving control signal based on the extended Kalman filter. According to the method, the time-frequency energy spectrum feature vector based on wavelet packet transformation is constructed, accurate characterization of the multi-scale disturbance features of the low-level signals is achieved, a medical RFQ accelerator phase dynamic compensation system is established in combination with a deep learning network and an extended Kalman filtering algorithm, the control precision and the anti-interference capability of signal phase stability are remarkably improved, and the method is suitable for popularization and application. The method is suitable for a high-precision medical particle accelerator control system.

The invention relates to the technical field of prediction algorithms, and discloses a high-precision active power filtering and prediction algorithm for a three-phase ammeter, which comprises the following steps: acquiring original signals of three-phase voltage and current for baseline correction, performing time-frequency analysis on non-stationary harmonic waves and noise of the original signals, and dynamically adjusting filtering parameters; voltage and current phase alignment is carried out through FIR phase shift and zero crossing point detection, a phase-locked loop is constructed by using GRU to track the frequency of a power grid, the sampling frequency is dynamically adjusted, and frequency mutation is detected; iapFFT transformation is optimized to suppress spectrum leakage, a phase error is corrected through a deep learning network, and weak harmonic detection is enhanced by using an attention mechanism; classifying harmonic waves, and adaptively calculating total active power; dimensionality reduction is carried out on historical power and environmental parameters through an auto-encoder, and future active power is predicted; low-power-consumption hardware is adapted, and training efficiency and data security are optimized; three-phase signals are processed in parallel, and FPGA storage and FFT / FIR cores are optimized for filtering processing; and dynamically adjusting parameters of the phase-locked loop.

The invention discloses a tracking processing method for a baseband signal of a receiver, which comprises the following steps of: firstly, performing frequency correction through a frequency-locked loop, and performing phase correction through a phase-locked loop to realize accurate synchronization of carrier frequency and phase; then bit synchronization processing and incoherent integration are carried out, and the output signal-to-noise ratio of the loop and the measurement precision of the code phase are improved; and finally, the local pseudo-random code generator generates a local pseudo-random code, then the local pseudo-random code generator outputs three paths of pseudo-random codes which are mutually delayed by half a chip, namely a lead code, a real-time code and a lagging code, correlation values of the three paths of pseudo-random codes are obtained, a code phase error is obtained by calculating the correlation value difference of the lead code and the lagging code, and the local pseudo-random code is obtained. And after the code phase error is processed by a loop filter, an adjustment amount of a digital control oscillator is generated, so that the phase of the local pseudo-random code is adjusted. According to the invention, continuous adjustment of the digital control oscillator of the local carrier and the pseudo-random code is realized, so that correct navigation data information is demodulated for positioning calculation.

The invention discloses a beam control optimization method and system for a millimeter wave network, and relates to the technical field of beam control optimization, and the method comprises the following steps: employing a DTW algorithm dynamic time warping algorithm to match multi-hop path time delay characteristics between a base station and user equipment, and screening an optimal reflection path sequence; obtaining path topology, constructing a secondary unconstrained binary optimization model, and obtaining discrete phase distribution through quantum annealing solution; calculating a quantization error of the discrete phase and performing frequency domain compensation by adopting an interpolation algorithm to obtain a phase compensation vector; loading the compensation vector to programmable metasurface hardware to form a reflection link, and constructing a phase error covariance matrix; correcting the weight parameter increment of the optimization model based on the matrix; and finally, a target function is constructed in combination with the correction weight and the compensation vector, channel capacity optimization is realized, the problems of difficult multi-hop path selection, insufficient phase error compensation and high beam optimization complexity in millimeter wave communication are solved, and the channel capacity and the communication quality are improved.

A design method of a trust region satellite-borne dual-base interference SAR system is provided, relating to the field of radar measurement. Firstly, error sources of the interference SAR system are classified and analyzed, phase errors caused by image decoherence are calculated according to wave positions, and an analytical expression of baseline-related errors is reserved; a maximum phase error caused by imaging processing and an electronic device are estimated; and a baseline error is estimated. Then, the phase errors and the baseline errors are converted into elevation errors through an elevation fuzzy number, thereby obtaining an analytical expression of the elevation errors and the baseline parameters (length and dip angle). With a relative height measurement accuracy index of the system as an optimization object, a feasible solution interval between the baseline length and the baseline dip angle of the system is solved through a trust region algorithm. A minimum value of the baseline length is corrected according to a flying-around safety distance of a dual-satellite formation. According to the method of the present disclosure, the design of the satellite-borne dual-base interference SAR system can be guided, so that the satellite-borne dual-base interference SAR system is ensured to carry out terrain elevation surveying and mapping tasks with high accuracy and high reliability.

The invention discloses a lightning arrester on-line monitoring method and device, and relates to the field of intelligent monitoring, and the method comprises the steps: firstly collecting original current and voltage waveform data, carrying out the frequency domain decomposition operation, then introducing an intelligent prediction mechanism, carrying out the intelligent prediction of a phase error based on the fundamental voltage phase, temperature change and harmonic characteristics, and finally, carrying out the calculation of the phase error. And performing phase angle correction operation and preliminary calculation of resistive current on the fundamental current and voltage by using the corrected phase information, and introducing a historical data smoothing algorithm to perform noise reduction optimization on a result. And finally, comparing the analyzed and processed resistive current with a preset threshold value, and judging whether an alarm prompt is generated or not. Therefore, real-time evaluation and abnormal alarm of the operation state of the lightning arrester are realized, so that a powerful guarantee is provided for safe operation of a power system.

The invention relates to the technical field of bolt length detection data processing, in particular to a bolt length detection system, which is characterized in that a three-dimensional data acquisition module generates a high-density point cloud and extracts a thread curvature extreme point, and a dynamic model matching module screens an optimal lead angle parameter based on a Hausdorff distance; and constructing an axial expansion model carrying phase offset gradient features. The projection mapping correction module adopts a genetic algorithm to optimize a compensation coefficient matrix, and generates a dynamic weight correction parameter to suppress geometric distortion; and the phase error correction module combines Fourier spectrum decomposition and an exponential decay weight coefficient to construct a frequency domain transfer function to eliminate an axial accumulative error. According to the method, the problems of projection distortion and phase deviation caused by the lead angle are effectively solved through geometric-phase double-domain correction, dynamic parameter iteration and an error collaborative suppression mechanism, and the spatial positioning precision of the feature points at the tail end of the thread is improved.

The invention discloses a radar signal noise reduction method for deep learning, and relates to the technical field of radar signal processing, and the method comprises the steps: converting a time domain radar signal into a two-dimensional time-frequency graph through short-time Fourier transform; frequency domain feature extraction is carried out on the two-dimensional time-frequency graph, and frequency domain feature representation is output through a DnCNN and a cascade CNN in sequence; performing time domain feature extraction on the time domain radar signal and outputting time domain feature representation; fusing the frequency domain features and the time domain features based on a multi-head attention mechanism to generate cross-domain joint features; and inputting the cross-domain joint feature into a residual shrinkage network for signal reconstruction, and outputting a denoised time domain signal. A time-frequency double-domain collaborative learning framework is constructed, and signal high-fidelity reconstruction in a complex noise environment is realized through deep fusion of time domain characteristics and a frequency domain structure distribution rule. According to the noise reduction method, an extremely low phase error and an extremely high feature retention rate can be kept in a strong noise environment.

The invention relates to the technical field of artificial intelligence, in particular to an electrical connection safety management and control method based on intelligent monitoring, which comprises the steps of data acquisition, time synchronization, quality evaluation, feature engineering and the like. According to the method, electric, thermal, mechanical, acoustic and other channels are placed on the same time axis through unified alignment and quality marking of multi-modal data and two-stage time synchronization and resampling, explicit marking is carried out on missing, noise and abnormal points, the weight of a subsequent algorithm can be reduced or skipped according to marks, and misjudgment caused by phase errors and dirty data is reduced.

The embodiment of the invention discloses a clock signal quadrature phase error calibration device, a clock signal quadrature phase error calibration method and a chip, relates to the technical field of clock circuits, and facilitates calibration of clock signal quadrature phase errors. The apparatus comprises: a DLL loop configured to generate a plurality of sets of quadrature phase clock signals; the phase error detection module is used for comparing phase differences of two adjacent groups of orthogonal phase clock signals and outputting phase error information; the phase calibration module comprises a delay link and a digital state machine, the delay link is located in the DLL loop and comprises a plurality of cascaded delay units, a first pin of the digital state machine is connected with the phase error detection module, and a second pin of the digital state machine is connected with the DLL loop. And a second pin of the digital state machine is connected with each delay unit of the delay link and is configured to control at least one delay unit in the delay link according to the phase error information so as to calibrate the phase error of the quadrature phase clock signal. The method is suitable for application scenes such as clock signal transmission and control.

A retimer and a retiming method may employ dual path clock forwarding to drive a transmit clock generator. An illustrative integrated retimer circuit includes a sampling element configured to generate a digital receive signal by sampling an analog receive signal in accordance with a sampled signal; a timing error estimator configured to generate a timing error signal indicative of an estimated timing error of the sampled signal relative to the analog received signal; a clock recovery circuit configured to derive a sampled signal from the estimated timing error and a reference clock in part by determining the frequency signal; a transmitter configured to retransmit the digital reception signal according to a transmission clock; and a transmit clock generator configured to derive a transmit clock. The transmit clock generator operates based on each of: a reference clock; a frequency signal; and a phase error of the transmit clock with respect to the sampled signal.

A dual path PLL provides excellent output phase stability over PVT variations, without implementing a high accuracy TDC. A digital integral path employs a binary phase detector, comparing the reference and feedback signals, and an integrator to generate an oscillator control input to lock the long-term output phase to the reference signal. An analog proportional path employs a linear (e.g., edge triggered) phase detector and a charge pump and filter to generate an oscillator control input to mitigate phase noise in the output signal. The feedback signal to the proportional path is delayed, which has the effect of increasing the width of phase error pulses, and moving the charge pump operating point away from the zero point where it generates both positive and negative currents, which are difficult to match. A second linear phase detector in the proportional path compensates for the increased phase error pulse width by comparing the delayed and non-delayed feedback signals, and generating pulses in the opposite direction.

The invention provides a radio frequency multichannel amplitude-phase calibration method based on a full-automatic error variable, and the method comprises the steps: carrying out the length-set sampling data of the amplitude of a real-time signal, carrying out the fast Fourier transform, and carrying out the amplitude-phase error estimation, thereby forming a full-automatic error variable reference, and carrying out the calibration of the amplitude-phase of the full-automatic error variable. Therefore, the automatic calibration of the amplitude phase error between the channels is conveniently and quickly realized, the calibration precision is high, the amplitude and phase difference between the channels can be effectively eliminated, the directivity accuracy of the system beam is ensured, and the evaluation system is ensured to simulate the orientation, distance and other related information of the target according to actual combat requirements. And rapid and efficient evaluation on the receiving and transmitting channel performance of the radar can be realized.

The invention discloses a handheld security check imaging method based on MEMS assistance, and aims to combine an MEMS sensor with an MIMO radar plate to form a handheld convenient security check imaging method with high precision and low cost according to the rapid and fine security check requirement of people in a security check place with dense people. Firstly, the radar board transmits a linear frequency modulation signal and receives an echo signal reflected by a target, and during the period, the MEMS sensor feeds back the motion track and position information of the handheld security check system in real time, and provides accurate attitude and position information. And secondly, position calibration is carried out on the track information of the MIMO radar antenna through the data of the MEMS sensor, and the zero drift of the accelerometer is compensated based on the wavelet packet change, so that the error caused by the system motion and the position change is reduced. And finally, residual phase errors are estimated and eliminated based on a particle swarm algorithm, non-contact three-dimensional imaging of the target is realized in combination with a wavenumber domain imaging algorithm on this basis, and hazardous article inspection is realized in combination with technologies such as deep learning and image recognition.

The invention relates to a DBF + LFMCW system zero intermediate frequency radar amplitude-phase high-precision closed-loop near-field calibration system and method. The method comprises the following steps: generating a test signal through a target echo simulator; a test signal is connected to a darkroom probe and is aligned with a certain receiving antenna of the radar, the radar equipment assembly receives the signal and mixes the signal with an internal local oscillator signal to obtain a zero intermediate frequency signal received by the channel, and meanwhile, the amplitude and the phase of the zero intermediate frequency signal are periodically collected and output to a terminal interface; a darkroom probe is controlled to be sequentially aligned with 1-N channels of a radar receiving antenna, zero intermediate frequency signals of each channel are collected and stored, recorded zero intermediate frequency data of all the channels are processed through a channel amplitude phase correction algorithm, and accurate correction of each channel is achieved. According to the invention, the baseband I / Q signals are directly collected and processed, so that accurate compensation of I / Q amplitude-phase inherent errors of each channel caused by DC offset, processing technology and the like can be realized.

The invention relates to a sparse cloth double-array-element phase comparison and double-frequency phase solution ambiguity radar angle measurement method and device, and belongs to the technical field of radar measurement. The method specifically comprises the following steps of: 1, performing phase comparison measurement on sparse cloth double array elements at a dual-carrier frequency and a lower dual-channel to obtain a phase difference between the array elements so as to obtain a fuzzy coefficient containing a phase error; according to the fuzzy coefficient, determining constraint conditions of dual-frequency and carrier wave values; step 2, under the constraint condition determined in the step 1, selecting a radar signal working frequency, and constructing a virtual short baseline according to the dual-array-element phase difference under different frequencies; and step 3, based on a virtual baseline ambiguity resolution method, calculating to obtain a non-ambiguity high-precision one-dimensional angle measurement angle.

The invention relates to a synchronous acquisition and vector synthesis method for residual current data of multiple acquisition units, and the method comprises the steps: a collection unit which prepares to read the information of each acquisition unit; the acquisition unit interrupts multiple times of triggering acquisition and stores residual current data until residual current information of a complete sine period is acquired; processing the acquired residual current data, and judging whether the acquisition unit has a fault or not; and the collection unit completes residual current data vector synthesis and calculates the magnitude of the residual current. The invention further discloses a synchronous acquisition and vector synthesis system for the residual current data of the multiple acquisition units. According to the invention, the collection unit broadcasts the synchronization signal to the plurality of collection units, and the collection units can receive the synchronization signal at the same time and start to collect the residual current signal at the same time, thereby achieving the synchronous collection of the residual current, avoiding the phase error caused by the synchronization error in the residual current signal collection process, and improving the collection precision of the residual current signal.

The invention provides a wide-area power waveform synchronous monitoring system and a synchronous monitoring method, in the synchronous monitoring system, firstly, a terminal layer node adopts a multi-channel synchronous sampling technology in combination with cross calibration, phase error detection and correction filtering, so that data of different signal sources can be ensured to be collected at the same time; and delay caused by hardware difference and different transmission paths is eliminated, so that the synchronization precision and accuracy of data uploaded to the edge layer node are relatively high, then the edge layer node can maintain the time synchronization precision at a relatively high level by executing a cross-hierarchy clock synchronization mechanism, and finally, synchronous analysis is performed through the master station layer node, so that the synchronization precision of the data uploaded to the edge layer node is improved. And the reliability of a monitoring result is ensured. According to the invention, the terminal layer node, the edge layer node and the master station layer node execute corresponding synchronous monitoring tasks at different levels, the synchronization precision can be improved, and the synchronization error can be reduced, so that the strict requirement of high-precision time synchronization is met, and the reliability of a synchronous monitoring result is improved.

The invention discloses an array amplitude-phase error calibration method based on joint sparse estimation. The method comprises the following steps: setting a correction sound source to be positioned in an unknown far-field direction relative to a sensor linear array; the method comprises the following steps: dividing an observation area of a sensor linear array to obtain a plurality of grid points, correcting an array sampling signal based on the grid points and offset, constructing an array response signal model, and performing joint sparse direction-of-arrival estimation of the grid points and the offset to obtain a corrected sound source signal direction-of-arrival; the joint sparse estimation method for solving and correcting the direction of arrival of the sound source signal is popularized to a planar array and a multi-frequency cross array through iterative correction; and on the basis of the estimated corrected sound source direction of arrival, array amplitude-phase error calibration is completed by adopting a spatial filtering method. According to the method, the problem of beam pattern attenuation caused by existing array amplitude phase error calibration is solved, the error correction precision and correction efficiency are improved, and the application range of the error calibration method in multiple array types is widened.

The invention provides a distributed coherent communication system synchronization method, and the distributed coherent communication system enables dispersed nodes in a space to cooperate with each other through the construction of a virtual antenna array, so as to form a directional wave beam, thereby achieving the control and enhancement of a signal direction. A distributed Kalman filtering framework is introduced, a frequency and phase joint state space model is constructed, local observation data of nodes and neighbor state information are optimally fused, and dynamic estimation and compensation of frequency offset and phase errors are achieved. An updating strategy is designed in combination with an event triggering mechanism, local Kalman filtering prediction is executed in conventional iteration to suppress random noise and control the communication burden and calculation complexity of a system, meanwhile, the standard deviation of a residual phase error is effectively reduced by one order of magnitude, and the synchronization performance is improved.

The invention discloses a fast-locking low-jitter sub-sampling phase-locked loop structure. The sub-sampling phase-locked loop comprises a sub-sampling Bang-Bang phase discrimination circuit, a self-adaptive variable step size digital filter circuit, a delta sigma digital-to-analog conversion circuit and an oscillator circuit. The sub-sampling Bang-Bang phase discrimination circuit generates a phase discrimination output digital control signal according to an input reference signal and a feedback oscillator signal phase error, the adaptive variable step size digital filter circuit adaptively adjusts a filtering gain according to the phase discrimination output digital control signal, and the output of the filter circuit realizes digital-analog conversion after oversampling modulation. And the output analog signal controls the voltage-controlled oscillator to realize rapid low-jitter phase locking of the output and the reference signal.

The application discloses an online error calibration method for a hemispherical resonator gyro based on frequency superposition, which solves the problem that the traditional error calibration method for a hemispherical resonator gyro cannot realize online calibration of gain error, bias angle error and phase error in the same working mode. The application utilizes high-frequency cosine and sine reference signals to demodulate two-channel detection signals and extract high-frequency components in the detection signals. Subsequently, an associated model is established by using the high-frequency cosine and sine given control signals and the demodulated signals to realize online identification of the gyro error, and the identification result is applied to online calibration of the channel gain error, bias angle error and phase error, thereby enhancing the anti-interference ability of the hemispherical resonator gyro under variable temperature conditions. The application is mainly used for simultaneous online calibration of the channel gain error, bias angle error and phase error.

The invention provides a DOA estimation and error correction method and device based on joint sparse recovery, and the method comprises the steps: receiving a target signal through a linear array, building an array signal model fusing a phase error, and constructing an optimization model based on multiple measurement vectors; and compensating the phase error in each step of iteration by using an iterative optimization solution algorithm to enable the DOA to gradually approach a true value, thereby obtaining estimation results of the spatial spectrum and the phase error. The method provided by the invention has the advantages that random phase errors caused by array element position errors, system frequency errors, sound wave propagation errors and the like in DOA estimation are corrected. Under the condition that phase errors exist, a signal model and an optimization problem are constructed, and the phase errors and a DOA estimation value are solved through an iterative algorithm, so that a high-precision and low-sidelobe DOA estimation result is obtained. The method is suitable for DOA estimation under the conditions of small snapshots, strong noise and random phase errors.

The invention relates to the technical field of serial communication, in particular to a high-speed clock recovery method and device based on an adjustable delay chain, and the method comprises the steps: generating a recovery clock initial phase; a multi-stage programmable delay chain is adopted, and a phase-locked loop or delay-locked loop structure is combined, so that the initial phase of a recovered clock is finely adjusted and locked, and phase capture and clock edge alignment are performed; based on a multi-path recovery structure, a path with the minimum error is selected from the delay paths through a preset phase error detection mechanism to serve as an output channel; environment parameters of the environment are collected, parameters of the multi-stage programmable delay chain are dynamically adjusted, and high-speed clock recovery is completed. According to the method, the edge capture precision, the system jitter tolerance and the working frequency range of the recovered clock are remarkably improved, and then the phase consistency, the anti-interference capability and the overall data receiving reliability of the recovered clock in the high-speed communication system are effectively improved.

A method and a circuitry to perform clock and data recovery, CDR is provided. The method includes the steps of obtaining an analogue communication signal characterized by a symbol frequency Fsymbol; and performing an analogue-to-digital conversion of the analogue communication signal according to a sampling rate Fsample targeting Fsymbol*(M / L) thereby obtaining a digital signal. The method includes up-sampling the digital signal by L; filtering the up-sampled digital signal with filter coefficients of a finite impulse response, FIR, filter to perform a fractionally-spaced equalisation; and down-sampling the filtered digital signal by M resulting in a recovered digital signal. Intermediate filter coefficients are obtained for the FIR filter and a phase error is determined based on the recovered digital signal. The intermediate filter coefficients are interpolated based on the phase error to compensate for the phase error, resulting in interpolated filter coefficients; and the filter coefficients of the FIR filter are updated with the interpolated filter coefficients.

According to the out-of-focus holographic measurement method of the radio telescope based on planetary zooming, a planet is used as a source for out-of-focus observation, a beam pattern of an actually observed planet is obtained through deconvolution, a theoretical far-field model of the planet is established, and the theoretical far-field model of the planet is compared with the actually observed beam pattern to calculate a redundancy value. And continuously updating the coefficient of the Zernike polynomial by minimizing the redundancy value and iterating until the optimal phase model is determined, and determining the phase error on the aperture plane according to the phase model. According to the out-of-focus holographic measurement method, the planet is introduced to serve as a radio source, the measurement precision and stability are improved, the real-time measurement effect and the multi-frequency calibration capability are enhanced, the calibration accuracy and the overall performance of the Tianmar radio telescope are remarkably improved, many limitations of a traditional surface type measurement method are solved, and the measurement precision and the measurement stability are improved. For example, the measurement speed is slow, additional hardware equipment is needed, the influence of weather is large, and the application range is limited.

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.