630 results about "Phase correction" patented technology

The invention relates to the technical field of cable fault monitoring, in particular to an intelligent cable fault monitoring and early warning method and system, and the method comprises the steps: detecting a sheath circulation phase angle, adjusting the frequency through offset threshold exceeding, extracting de-noising data, injecting pulses, measuring the time delay, correcting the temperature, inverting a carbonization path, matching a conductivity abrupt change generation map, and measuring the attenuation rate to update the carbonization depth. And calculating a correlation factor to trigger early warning. According to the invention, through dynamic detection of circulation phase angle offset, frequency modulation anti-interference data extraction, noise suppression, signal-to-noise ratio improvement, combination of temperature gradient and dielectric correction delay, compensation of signal temperature influence, accurate inversion of a carbonization starting point, and joint analysis of multi-band signal attenuation rate and propagation time, complex working conditions are adapted; a coupling model is established through dynamic comparison of correlation factors and threshold values, layered early warning is performed, phase correction, temperature compensation and multi-band collaborative analysis are fused, and the positioning precision and the evaluation reliability are improved.

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.

The invention relates to a control method of a digital ultrasonic flaw detector calibrating device. The control method comprises the following steps: acquiring shape data and material parameters of a to-be-detected material, calling a matched standard test block, calculating adaptive ultrasonic frequency and flaw detector parameters, creating and solving a multi-objective optimization model, and planning a detection path of the to-be-detected material based on an optimal solution; emitting ultrasonic waves with matched frequency to implant the quantum dot mark array to carry out fluorescence-ultrasonic dual-mode signal correlation calibration; scanning according to a planned detection path, establishing a time-varying channel model to predict a current time delay variation, extracting a fundamental frequency and a harmonic component of a probe excitation pulse by adopting an autocorrelation algorithm to serve as a reference, constructing a state vector of a filter based on the predicted current time delay variation, and performing phase correction on a received signal to obtain a phase correction signal; and analyzing the defect of the to-be-detected material based on the corrected receiving signal. By integrating material parameter dynamic modeling, multi-modal signal collaborative calibration and adaptive path optimization, the detection precision and efficiency under complex working conditions are improved.

The invention provides a virtual synchronous machine dynamic inertia control method and system based on an artificial intelligence technology, which are applied to voltage source inverter control, and mainly comprises the following steps: data acquisition and preprocessing are carried out, and dynamic parameters are output through a time sequence neural network and are respectively used for control links of a virtual synchronous machine; a convolutional neural network is adopted to calculate a phase compensation angle for phase correction of pulse width modulation, and then a deep reinforcement learning network is utilized to output duty ratio correction to adjust the pulse width modulation so as to cooperatively control the dynamic inertia of the virtual synchronous machine. According to the invention, dynamically adjusted parameters are obtained through data time sequence processing and neural network application, and adaptive adjustment of core parameters can be realized; the convolutional neural network participates in modulation signal calculation, hardware phase delay is effectively compensated, and the dynamic response precision is improved; and cooperative optimization of inertia control and dynamic response is realized by combining deep reinforcement learning, current overshoot is reduced, harmonic waves are suppressed, and the electric energy quality and the system stability are improved.

The invention discloses an adaptive modulation anti-multipath unmanned aerial vehicle swarm communication method and system based on MIMO-OFDM, and relates to the technical field of wireless communication, and the method comprises the steps: receiving a down-conversion baseband; synchronization and compensation are carried out; removing a cyclic prefix and carrying out fast Fourier transform; estimating a channel and noise on the training and pilot frequency, and correcting a common phase; performing frequency domain equalization and soft decision, forward error correction and cyclic redundancy check according to the estimation to obtain a control parameter, decoding a payload according to the control parameter, and performing statistics to form a link quality indication; modulating coding, bandwidth and spatial mode, configuring mapping, power and weight, and packaging physical layer protocol data; carrier sensing conflict avoiding sending, confirmation and retry are adopted to generate media access statistics; and the routing selects the next-hop multi-hop forwarding according to the transmission quality, and performs end-to-end statistics and recharge. Through cooperation of hierarchical synchronization and phase correction with cyclic prefix and FFT, crosstalk is suppressed, channel noise scale optimization soft decision is robust, data decoupling is controlled, and end-to-end availability is improved through multi-hop self-healing recharge.

The invention discloses a metering equipment interference signal suppression method and system in an electromagnetic compatibility test, and the method comprises the steps: obtaining an input signal of metering equipment in the electromagnetic compatibility test, performing windowing processing on the input signal by adopting a self-adaptive fractional order window function, and then obtaining a frequency spectrum component of the input signal through self-adaptive fractional order Fourier transform; calculating the amplitude of the frequency spectrum component, comparing the amplitude with a power threshold value, and screening out the frequency spectrum component of the interference signal; establishing a spectrum model of the interference signal based on the interference signal spectrum component; and generating a frequency domain compensation signal considering interference signal phase correction, converting the frequency domain compensation signal into a time domain compensation signal, and superposing the time domain compensation signal and the input signal to obtain a signal after interference suppression. According to the method, the frequency spectrum characteristics of the signals in different frequency bands can be ensured to be clear, the interference signal components can be accurately identified, the energy distribution of the interference signals can be effectively simulated, and the high-efficiency interference suppression capability can still be kept in a variable signal environment.

The invention relates to the technical field of information transmission, in particular to a multi-band processing system for electronic communication, which comprises a signal separation module, a frequency deviation compensation module, an amplitude correction module, a phase correction module and a dynamic feedback adjustment module. According to the invention, a plurality of frequency bands are extracted to execute band-pass filtering to separate signal components, short-time power spectral density is calculated to describe energy distribution, normalization coefficient operation is carried out to enhance frequency domain balance, high-energy component screening is carried out to reduce noise interference, signal effectiveness is improved, and frequency offset compensation calculates a change rate based on adjacent phase data and eliminates abnormal fluctuation. A time domain coefficient is adjusted to correct a frequency offset error, amplitude correction depends on short-time Fourier transform to screen the maximum amplitude to optimize signal consistency, phase adjustment fits a group delay error curve to optimize compensation parameters, dynamic feedback optimizes a strategy according to a signal-to-noise ratio to enhance compensation precision, and signal transmission quality and stability are improved.

The invention belongs to the field of geophysical monitoring, and discloses an earth crust deformation monitoring method and system based on satellite radar interference measurement, electronic equipment and a storage medium, and the method comprises the steps: obtaining a measurement image of a satellite radar for the earth surface, and carrying out the image registration of the measurement image, and obtaining a registered image; pre-processing the registered image to obtain a pre-processed image; performing interference processing on the preprocessed image to generate a differential interferogram containing a terrain phase and a deformation phase; phase unwrapping and terrain phase correction are carried out on the differential interferogram, a deformation phase is separated out, and earth surface deformation information is obtained; and performing time sequence analysis on the earth surface deformation information of the continuous time to obtain a change trend of earth crust deformation. According to the invention, based on satellite radar interference measurement, a large area can be covered in a short time, and effective monitoring can be carried out on wide plains, complex mountainous regions and remote regions.

The invention is suitable for the technical field of earth surface monitoring, and provides an earth surface deformation monitoring method and system based on a time sequence InSAR, and the method comprises the following steps: carrying out the SAR image screening and interferogram generation, and collecting corresponding meteorological data and thermal infrared data; performing space-time adaptive atmospheric phase correction, taking the air pressure vertical gradient and the temperature anomaly as driving factors of atmospheric delay, and separating an atmospheric phase through a space-time weighted model; dynamic deformation modeling is carried out, and deformation is decomposed into linear deformation and nonlinear deformation; the method comprises the following steps: taking a mining area road network as a geometric constraint, unwrapping a coherent region by adopting a minimum cost flow algorithm, converting an unwrapping phase into sight-line-direction deformation, and calculating horizontal and vertical deformation components in combination with InSAR sight-line-direction deformation and a digital elevation model. The method adapts to a complex deformation mechanism of a mining area by capturing linear and nonlinear deformation. Through sight line deformation and DEM geometric projection, vertical and horizontal deformation separation is realized, and the deformation direction is determined.

The invention discloses an HPLCamp (High Performance Liquid Chromatography) based on deep learning. The invention discloses an HRF dual-mode communication adaptive coding modulation and anti-noise method. The method comprises the following steps: acquiring an optical radio frequency signal amplitude-phase change rate and synchronously sampling and normalizing; calculating a node amplitude-phase residual error to generate a nonlinear mapping coefficient; monitoring coherent change to solve a drift trend, adjusting a modulation coding optimization scheme, compensating distortion and outputting an anti-noise result. According to the method, the instantaneous amplitude and phase of the optical radio frequency dual-mode signal are extracted, a multi-dimensional amplitude-phase characteristic matrix is formed in combination with time domain synchronization and a normalization template, differential residual modeling and nonlinear mapping coefficient calculation are carried out between impedance nodes, and dynamic compensation of amplitude-phase mismatch and envelope offset is achieved. A drift trend quantity is generated based on coherent offset parameter differentiation, feedback is provided for modulation format and coding strategy optimization, amplitude equalization and phase correction are completed, the signal synchronization degree and amplitude-phase consistency are improved, and the steady-state response and anti-disturbance performance of a transmission link are enhanced.

The invention discloses a main power grid short-time load prediction method using a hybrid active filter, and particularly relates to the technical field of load prediction. The method comprises the following steps: acquiring active control parameters and passive branch parameters of a hybrid active filter, combining a real-time load fluctuation signal of a main power grid, extracting harmonic suppression characteristics and phase distortion characteristics, and analyzing and generating a time scale compensation factor through a dynamic coupling effect; and constructing a phase correction model based on the transient harmonic residual component and the time scale compensation factor, and performing frequency domain and time domain combined reconstruction on the real-time load fluctuation signal to obtain a corrected load fluctuation characteristic sequence. A short-time load prediction model is calibrated through a collaborative mapping relation, a load power prediction value of a main power grid in a future preset time window is output, a secondary high-frequency interference signal generated by real load fluctuation and filter self-resonance is effectively distinguished, and the problem of coupling interference of harmonic residual components on the load prediction model in a power grid impedance sudden change scene is solved.

The invention provides an OTFS radar communication integrated signal processing method and system based on time-frequency-space domain joint optimization. According to the method, pilot symbol positions and densities are configured in an OTFS time-frequency grid according to channel time-varying characteristics and bandwidths, and a Doppler index range is set to optimize channel information acquisition; deploying a controllable reflecting surface, constructing a phase modulation matrix based on a target position and communication channel parameters, dynamically adjusting a phase gradient direction, and separating energy of a target echo and a communication signal; within a set Doppler index range, calculating frequency offset estimation, correcting a time domain sampling point of a received signal, and generating a phase correction vector; and positioning a spatial aliasing main interference area, and inhibiting symbol interference and spatial aliasing caused by a high-speed target through frequency domain beam forming weighting and phase rotation compensation in combination with a phase correction vector and a sub-Doppler parameter in the area. According to the invention, time-frequency-space domain cooperative efficient processing of OTFS radar communication integrated signals is realized.

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 relates to the technical field of control of manufacturing units, in particular to a composite material rod piece winding tension dynamic compensation control method and system. The method comprises the following steps of: calculating an instantaneous linear velocity pulsation quantity caused by the change of a non-circular section contour of a core mold at each moment; according to the dynamic elastic modulus and the equivalent viscosity coefficient, calculating a phase correction factor for representing the viscoelastic response lag of the prepreg tape at each moment; based on the instantaneous linear velocity pulsation quantity and the phase correction factor at each moment, a dynamic compensation torque instruction is obtained, and the dynamic compensation torque instruction is in negative correlation with the phase correction factor; and the dynamic compensation torque instruction is output to the tension unwinding motor, so that the adjustment of winding tension is realized, the accuracy of tension dynamic compensation control is effectively improved, and the product quality is effectively improved.

The invention belongs to the technical field of electromagnetic signal monitoring and analysis, and particularly relates to a multi-dimensional multi-channel broadband signal monitoring platform and an amplitude phase testing method.The monitoring platform is composed of a plurality of eight-channel receiving single machines, eight receiving single machines serve as a group, and any one of the eight receiving single machines serves as a basic function single machine in each group; a synchronous reference signal is generated through a parallel synchronous reference correction processor built in each functional single machine, and n * 8 parallel signals are received. The amplitude and phase test method comprises a frequency domain amplitude and phase consistency test and a time domain amplitude and phase consistency test. According to the invention, a synchronization reference rule correction processing mechanism and a frequency, amplitude and phase correction module are constructed, so that the technical problems that a long-term stability synchronization test cannot be realized only by adopting a step-by-step single-channel test in a traditional test, radio frequency phase shift introduced by a multi-channel synchronization test is inconsistent with an acquisition time sequence and the like are solved; and the signal parallel receiving and consistency analysis capabilities of 8 * n channels are realized.

The invention discloses a distribution transformer state evaluation method, system and device and a storage medium, and the method comprises the steps: obtaining current and voltage long sequence data through high-frequency sampling, and forming a high-quality data set through expert labeling; signal preprocessing is realized by adopting dual-channel adaptive wavelet packet denoising and cross-correlation sinchinger interpolation phase correction; constructing an asymmetric convolution pyramid to extract current high-frequency and voltage low-frequency multi-scale features, and performing cross-modal fusion by using compressed multi-head attention and a channel-space double-gating mechanism; dynamic random depth regularization is introduced, and a time domain loss function in a fault sensitive period is focused, so that high-accuracy and low-delay real-time state evaluation is realized; the capacity of capturing and recognizing early weak fault features of the distribution transformer in a complex operation environment is remarkably enhanced, and therefore more sensitive and more accurate state early warning is achieved.

The disclosure provides a method and device for correction of the multi-channel capacitive sensor. The method includes: under calibrating mode, inputting the calibration signal from the calibration capacitance network module to the multi-channel capacitive sensor, and measuring the output complex voltage at each calibration frequency point; selecting any channel as a reference channel, combining each-channel three-admittance parameters with the output complex voltages at each calibration frequency point, calculating each-channel amplitude-phase correction coefficient relative to the reference channel; under operating mode, inputting a carrier signal to the multi-channel capacitive sensor through the multiple DoF sensitive probe, and measuring the output complex voltages under actual operation; and multiplying the output complex voltages by the correction coefficients, thereby obtaining the multiple sensing channel output signals.

The invention relates to the technical field of wireless communication, and discloses a compensation method for electronic radio frequency communication. According to the compensation method for the electronic radio frequency communication, the radio frequency signal and the channel state information are acquired, the original data set is generated, and the preprocessing steps of denoising, signal amplitude correction, phase correction and the like are performed, so that the data quality is improved, accurate parameter evaluation is performed by adopting the minimum mean square error, the accuracy of channel characteristic parameters is ensured, and the communication quality is improved. A mathematical model constructed based on the parameters enables calculation of compensation parameter gain and phase deviation to be more accurate, so that attenuation and distortion caused by signal propagation in a channel are effectively compensated, and finally, quality evaluation is carried out on the bit error rate and the signal-to-noise ratio of the compensated signal, so that the compensation effectiveness is ensured, and the signal quality is improved. And if the compensation is invalid, the calculation can be returned in real time for recalculation, so that the quality of the whole signal is improved.

Systems and methods for regaining phase synchronization between a CMTS core and an RPD, where the phase synchronization is regained over repeated temporal periods preferably divided between a first interval having a frequency adjustment of a first magnitude and a second interval having a frequency adjustment of a second magnitude.

The invention provides an unmanned aerial vehicle group cooperative suppression method and system based on a distributed antenna array, electronic equipment and a storage medium, and relates to the technical field of unmanned aerial vehicle group cooperative suppression and anti-interference control. Obtaining airflow pressure distribution information; performing vortex field calculation processing on a fluid motion state by using the information to generate vortex field information containing a disturbance area; dynamically adjusting the phase of the antenna array element based on the eddy current field information, compensating the physical deformation of the array and outputting a compensation result; performing cooperative phase correction processing on distributed antenna array beam pointing by using the result to generate a beam phase compensation amount; and finally, cooperative regulation and control processing is performed on the unmanned aerial vehicle group emission signals based on the compensation amount, and an anti-disturbance suppression wave beam pointing to the target is generated. And continuous directional suppression on a moving target in a strong wind disturbance environment can be realized.

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 discloses a moving-coil geophone zero-phase corrector based on a state variable shaper. The zero-phase corrector comprises a state variable shaper, a differential-to-single-ended module and a single-ended-to-differential module. After a moving-coil geophone signal is input into a differential signal, the signal is converted into a single-ended signal suitable for filtering through the differential-to-single-ended module, and a high-pass filter, a band-pass filter and a low-pass filter in the state variable shaper correct the phase characteristic of the frequency response of the geophone to a zero-phase attribute. And finally, the single-ended to differential module converts the single-ended signal into a differential signal again and outputs the differential signal. The phase characteristic correction method can be used for phase characteristic correction of differential signals of the moving-coil geophone, low-frequency response can be expanded while the phase is corrected by changing resistance value adjustment, gain stability in the original bandwidth is kept, phase characteristic correction is provided for output of the moving-coil geophone with different frequencies and amplitudes, and the correction precision of the moving-coil geophone is improved. And the accuracy of the detector signal phase is improved.

The invention discloses a multi-channel audio calibration method, system and device and a storage medium, and relates to the technical field of audio, and the method comprises the steps: collecting and separating a main sound channel signal and a bass sound channel signal in a multi-channel audio signal; detecting time delay between a main sound channel and a bass sound channel based on a phase correlation algorithm, and performing adaptive delay compensation; the state change of the audio signal is monitored in real time, and before or when a signal switching event is detected, gradient gain envelope is applied to the bass sound channel signal, so that the signal amplitude gradually changes to a target value according to a preset nonlinear curve; a sonic boom event is analyzed and identified based on multi-dimensional characteristics, a self-adaptive amplitude limiter with a prospective processing capability is started for suppression, and harmonic distortion compensation and phase correction are carried out on a processed signal, so that the problems of signal asynchronization caused by low-frequency output delay of an audio system in the prior art, and the system reliability is improved are solved. Therefore, the low-frequency sound quality and the system stability are improved.

The invention discloses a method for tracking a signal with a large Doppler frequency change rate by using FFT (Fast Fourier Transform), which comprises the following steps of: S1, acquiring an input signal, and performing preliminary frequency offset compensation on the acquired input signal; s2, de-spreading the signal after the initial frequency offset, and performing phase correction on the de-spread signal; s3, performing FFT calculation on the signal after phase correction, and obtaining a residual frequency offset value; and S4, according to the residual frequency offset value, returning to S1 to circularly carry out frequency offset compensation on the input signal until the signal tracking is finished. According to the invention, an open-loop tracking mode is adopted, and the problem that a traditional three-order phase-locked loop cannot realize carrier tracking of a large Doppler frequency change rate of a short-time burst signal is solved.

The invention provides a mobile platform foresight super-resolution imaging method combining a structured sparse and Bayesian framework, and relates to the technical field of remote sensing, and the method comprises the steps: building a high-dynamic platform foresight imaging signal processing model; receiving an echo signal, and obtaining a preprocessed signal of the echo signal in a two-dimensional time domain according to the echo signal and the high-dynamic platform forward-looking imaging signal processing model; and constructing a phase compensation factor, and obtaining a multi-domain joint phase correction signal according to the phase compensation factor and the preprocessed signal of the two-dimensional time domain. Expressing the multi-domain joint phase correction signal as a form of an over-complete dictionary and signal scattering coefficient convolution, and determining variable estimation results of the preprocessed signal of the two-dimensional time domain in all range gates; and generating a super-resolution foresight image of the two-dimensional scene according to variable estimation results under all range gates. The high-order motion of the maneuvering platform and the target structure with the block sparse characteristic are considered, and foresight super-resolution imaging of the maneuvering platform on the surface target scene with the structured sparse characteristic is achieved.

The invention provides a phase correction method and a communication device. The device comprises a radio frequency module and a signal transmission module. The radio frequency module comprises a plurality of radio frequency interfaces, the plurality of radio frequency interfaces are connected with the signal transmission module, and the signal transmission module is further connected with at least one antenna interface; the radio frequency module is used for sending a first radio frequency signal through a plurality of radio frequency interfaces; the signal transmission module is used for transmitting a first radio frequency signal to the at least one antenna interface and transmitting the first radio frequency signal to the radio frequency module in a loopback manner at the at least one antenna interface; and the radio frequency module is also used for correcting the phases of the signals sent by the plurality of radio frequency interfaces based on the first radio frequency signal transmitted back in the loopback manner. According to the invention, phase correction can be carried out on each radio frequency interface of the radio frequency module under the condition that a correction interface is not arranged in the communication device, so that interface resources are saved.

The invention discloses an ISAR (Inverse Synthetic Aperture Radar) multi-pulse accumulation cross-correlation distance and phase correction system based on an FPGA (Field Programmable Gate Array). The ISAR multi-pulse accumulation cross-correlation distance and phase correction system comprises an upper computer and the FPGA, the upper computer is used for controlling the inverse synthetic aperture radar system to transmit a signal and receiving an echo signal; performing de-line frequency modulation on the echo signal to obtain an echo signal after pulse compression, and preprocessing the echo signal to obtain a to-be-processed echo signal; quantizing the echo signal to be processed, acquiring a quantized echo signal, transmitting the quantized echo signal to the FPGA, and receiving the distance returned by the FPGA and the echo signal after phase correction; and the FPGA is used for executing a multi-pulse cumulative cross-correlation envelope alignment algorithm to perform alignment processing on the quantized echo signal, obtaining a corrected echo signal and returning the corrected echo signal. The register transfer stage circuit based on the multi-pulse cumulative cross-correlation envelope alignment algorithm is designed based on the FPGA, high-parallelization acceleration based on the multi-pulse cumulative cross-correlation envelope alignment algorithm module is achieved, and the processing speed and efficiency of the algorithm are remarkably improved.

The invention discloses a roadbed settlement and landslide hidden danger identification method and system along a traffic corridor, and the method comprises the steps: obtaining a time sequence satellite-borne data set of a target region, and carrying out the format conversion of the data format of the time sequence satellite-borne data set; generating an interference pair network based on the time baseline threshold; generating a filtered differential interference image set; performing differential interference phase unwrapping processing on the filtered differential interference image set to obtain an unwrapped differential interference image set; performing atmospheric delay phase correction on the unwrapped differential interference image set to obtain an unwrapped interference image set after atmospheric correction; calculating to obtain the annual average settlement rate of the linear traffic corridor area and a time sequence accumulated deformation result; based on the annual average settlement rate of the linear traffic corridor area, the spatial settlement gradient field information of the linear traffic corridor area is extracted, the settlement rate and the spatial settlement gradient field information meeting the hidden danger judgment standard are output, the roadbed settlement and landslide hidden danger extraction and recognition result of the target area is obtained, and the road area detection efficiency is improved.

The invention provides a broadband oscillation suppression method and device for a three-phase grid-connected inverter and a medium, and belongs to the field of new energy grid-connected broadband oscillation suppression. According to the impedance characteristic of the three-phase grid-connected inverter, a voltage feedback transfer function is designed, the transfer function is subjected to equivalence, complex coefficients in the transfer function are replaced, and the broadband oscillation suppression of the three-phase grid-connected inverter is achieved. And the method has definite physical significance and realizability. Meanwhile, a digital peak filter is introduced to serve as a frequency component selection channel, a delayer serves as a phase correction channel, a frequency component selection device only allowing a target frequency component to pass through is formed, a designed voltage feedback transfer function is combined, and a complete damping channel with a broadband oscillation suppression effect is formed. According to the channel, only the impedance characteristic of the target frequency can be changed, the impedance characteristic of the non-target frequency band is not influenced, the damping borrowing phenomenon is avoided, meanwhile, the coefficient can be changed according to the oscillation frequency, and full-band broadband oscillation can be suppressed.

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.