57 results about "Wave separation" patented technology

The invention relates to an electric energy meter high-precision measurement method and system, and relates to the technical field of electric energy metering, and the method comprises the steps: extracting a combined load feature vector of a real-time current signal, and comparing the combined load feature vector with a preset feature library to accurately determine a current load mode, thereby adaptively selecting an optimal metering strategy parameter set; the active power of fundamental waves is accurately calculated through a hybrid harmonic separation technology so as to eliminate interference of harmonic components on metering; and carrying out dynamic compensation on the fundamental wave power by using the selected strategy parameters, and carrying out integration to obtain final electric energy. In addition, the system periodically utilizes an internal high-stability reference source to calibrate and compensate system-level errors of the whole measurement link through a parallel closed-loop self-correction process. According to the invention, the metering accuracy, adaptability and long-term stability of the electric energy meter under various complex load conditions can be significantly improved.

The invention relates to the technical field of electric energy metering error compensation, in particular to an electric energy metering error compensation method, device and system, and the method comprises the steps: collecting a single-phase electric energy signal of a secondary side of a power grid transformer, and uniformly dividing the single-phase electric energy signal into each section of metering signal sequence; calculating high-frequency unsteady-state energy to quantify distortion by extracting first-order and second-order quasi-steady-state components of a metering signal sequence; meanwhile, impact pulses in the dynamic components are recognized, impact characteristics are analyzed through clustering, and the nonlinear impact disturbance degree is comprehensively calculated; the fundamental wave separation strength of each section of metering signal sequence is calculated, the initial step length factor of the LMS filtering algorithm is dynamically adjusted, effective separation of fundamental waves and distortion signals is achieved, and therefore electric energy metering error compensation is completed. The method aims at solving the problem that the metering precision of a traditional fixed step length factor is reduced under the power grid nonlinear load high permeability working condition, and the accuracy and reliability of electric energy metering are ensured.

The invention discloses a pre-oscillation stability monitoring active damper for a grid-connected power electronic system, and belongs to the technical field of power electronics. Comprising the steps that a direct-current voltage control loop stabilizes energy storage; the stability monitoring loop calculates power grid impedance and inverter impedance based on fundamental wave separation and FFT (Fast Fourier Transform) through phase-locked synchronous broadband pulse disturbance injection, and generates an activation signal by utilizing an MPC criterion; the damping control loop starts the virtual resistor according to the activation signal, and the virtual resistor is dynamically adjusted through closed-loop optimization, so that the stability margin of the system is close to a critical value. Interference before oscillation is achieved, the problems of response delay, high energy consumption and poor compatibility of a traditional scheme are solved, simulation shows that the harmonic suppression response time is smaller than or equal to 20 ms, and THD is reduced to 0.57%.

The invention discloses a diffracted wave impedance inversion method based on full wave field information, and the method comprises the steps: carrying out the diffracted wave separation of full wave field original seismic data, and obtaining reflected wave seismic data and diffracted wave seismic data; converting an interval velocity body obtained by processing the full-wave-field original seismic data to obtain an interval velocity low-frequency impedance body; determining a corresponding relation between the full-wave-field original seismic data and the synthetic seismic data in-phase axes, and extracting a comprehensive wavelet; under the constraint of the logging data and the interval velocity low-frequency impedance body, based on the comprehensive wavelet, a post-stack impedance inversion method is adopted to perform inversion on the full-wave-field original seismic data, and a full-wave-field absolute impedance body is obtained; under the constraint of a layer velocity low-frequency impedance body, based on the comprehensive wavelet, a post-stack impedance inversion method is adopted to invert the reflected wave seismic data, and a reflected wave relative impedance body is obtained; and removing the reflected wave relative impedance body from the full wave field absolute impedance body to obtain the diffracted wave absolute impedance body. According to the method, the wave impedance inversion precision of the heterogeneous reservoir can be improved.

The invention discloses a micromechanical gyroscope driving modal vibration control method, system and device, which are applied to the field of gyroscopes, and the method comprises the following steps: obtaining two paths of differential vibration displacement electric signals; performing odd-even filtering separation processing on the two paths of differential vibration displacement electric signals by using a harmonic separator to respectively obtain odd wave vibration displacement electric signals and even wave vibration displacement electric signals; demodulating the odd wave vibration displacement electric signal by using a fundamental wave to obtain a fundamental wave amplitude, and demodulating the even wave vibration displacement electric signal by using a second harmonic to obtain a second harmonic amplitude; the quotient obtained by dividing the second harmonic amplitude by the fundamental wave amplitude is used as the second harmonic fundamental wave amplitude ratio; and generating an excitation signal according to the second harmonic fundamental wave amplitude ratio and a reference amplitude value, and outputting the excitation signal to an excitation electrode of the micromechanical gyroscope. According to the invention, the excitation signal is generated according to the fundamental wave amplitude and the second harmonic amplitude, the demodulation error is reduced, the external interference is reduced, and the closed-loop control precision is improved.

The invention relates to a quantum classical common-fiber transmission signal receiving device, and the device comprises a filtering module which is used for filtering signal light, and separating quantum signal light and classical signal light; the quantum state analysis module is connected with the filtering module, and the quantum state analysis module is used for receiving the quantum signal light and performing projection measurement on the quantum state subjected to time phase encoding; and the coherent detection module is connected with the filtering module, and the coherent detection module is used for receiving the classical signal light and the local oscillation light and carrying out coherent detection on the IQ modulated classical signal. According to the invention, the filtering module is arranged to realize efficient separation of the classical signal and the quantum signal, and the coherent detection module and the quantum state analysis module can detect and analyze the classical signal and the quantum signal at the same time, so that the problem of noise crosstalk in a quantum classical co-transmission scene is solved; and moreover, the quantum signal does not need to be migrated to an O wave band, a novel optical fiber does not need to be deployed, relatively high optical fiber link loss is not introduced, and the cost can be reduced.

The application discloses a kind of vertical seismic profile up-and-down wave intelligent separation methods based on data driving, comprising the following steps: S1: collection well logging data, including velocity information and density information;S2: establish formation model and define seismic observation system, then based on vertical seismic profile wave field propagation equation numerical simulation, obtain simulated up-and-down wave data, and combined to obtain simulated total wave field data;S3: establish the neural network of multi-task learning, according to the data obtained in step S2 the neural network is trained, and obtains regression model;S4: carry out feasibility test, when the result is not up to standard, adjust training sample and optimize network parameter, return step S3 and retrain;When the result is up to standard, the regression model obtained in step S3 is used as the final separation model, and the target vertical seismic profile data is separated into up-and-down wave using it.The application can more intelligently, efficiently and accurately separate the up-and-down wave of vertical seismic profile data.

The invention discloses a fractured-vuggy reservoir comprehensive prediction method and device based on diffracted wave seismic attributes, electronic equipment and a storage medium. The method comprises the following steps: carrying out diffracted wave separation on a first full-wave-field three-dimensional seismic data volume to obtain a first diffracted wave three-dimensional seismic data volume; performing inclination angle guided filtering on the two three-dimensional seismic data volumes to obtain a second full-wave-field three-dimensional seismic data volume and a second diffracted wave three-dimensional seismic data volume, extracting full-wave-field coherent attributes, and solving a full-wave-field amplitude envelope and a diffracted wave amplitude envelope; carrying out ant tracking on the two amplitude envelopes to obtain a full-wave-field ant body and a diffracted wave ant body; and based on the full-wave-field coherent attributes, the two amplitude envelopes and the two ant bodies, fracture-cavity identification and fracture comprehensive prediction are carried out. According to the method, fracture-cavity identification and fracture crack comprehensive prediction are carried out by using the diffracted wave amplitude envelope body and the diffracted wave ant body, and the prediction precision of the carbonate rock fracture-cavity reservoir is improved.

This application provides a wavefield decomposition method, apparatus, device, and medium based on wavefront phase direction, belonging to the field of geophysical exploration technology. The method includes: determining a wavefield decomposition operator based on the original wavefield and Thomsen parameters; the wavefield decomposition operator is a first-order pseudo-Helmholtz decomposition operator based on the wavefront phase direction; determining the wavenumber domain wavefield obtained after transforming the original wavefield to the wavenumber domain; performing computational processing based on the wavenumber domain wavefield and wavenumber, followed by inverse Fourier transform to obtain multiple intermediate quantities constituting an auxiliary wavefield; determining the auxiliary wavefield based on the multiple intermediate quantities and Thomsen parameters through an auxiliary wavefield expression; and performing wavefield decomposition based on anisotropic wavefield decomposition formula to achieve P-wave and S-wave separation, obtaining the P-wave and S-wave wavefields. This method not only achieves P-wave and S-wave vector wavefield separation and reduces imaging crosstalk noise, but also reduces computational load, balancing wavefield decomposition effect and computational efficiency.

The invention discloses a novel multi-component conversion multiple imaging method for a deep-sea rugged seabed structure, and relates to the technical field of geophysical exploration for petroleum, and the method comprises the steps: inputting a longitudinal and transverse wave velocity field, a seismic source wavelet, observation system parameters, and a rugged seabed elevation; constructing a non-uniform curved grid of the acoustic-viscoelasticity model; calculating an acoustic-viscoelastic primary wave field continuation operator of vector wave separation under the curved coordinate system; calculating an acoustic-viscoelastic primary wave adjoint wave field of vector wave separation under the curved coordinate system based on an adjoint state theory; calculating an acoustic-viscoelastic n-order multiple wave field continuation operator of vector wave separation under the curved coordinate system; and calculating an acoustic-viscoelastic n-order multiple accompanying wave field of vector wave separation under the curved coordinate system, and generating a multiple imaging result by applying an elastic multiple imaging condition of vector wave separation. According to the invention, full-path compensation and longitudinal and transverse wave vector imaging of multiple waves can be realized, the imaging range is expanded, and the information amount of imaging is increased.

The invention belongs to the technical field of underground engineering geophysical exploration, and provides a transverse inhomogeneous medium front and back traveling wave separation and waveform inversion method and system, and the method comprises the steps: obtaining an observation waveform and a forward modeling waveform; carrying out Tau-p conversion on the observation waveform and the forward modeling waveform, extracting a target wave field in a set range from the data after Tau-p conversion, extracting backward traveling wave information, and then carrying out inverse conversion to obtain a time domain wave field; performing normalization processing on the time domain wave field, calculating an L2 norm between observation data and forward modeling data after processing as a slave objective function, taking an L2 norm between a forward modeling waveform and an observation waveform as a master objective function, and taking a comprehensive objective function fused by the two objective functions as a final objective function, and performing iterative inversion; and judging whether the iterative inversion meets a termination condition or not. According to the invention, high-resolution imaging results with clear boundaries and controlled artifacts can be obtained in a complex environment.

The invention provides an imaging method for a high and steep structure, and the method comprises the steps: inputting a velocity field, and building an observation system; constructing an optimal nine-point difference format of the frequency domain acoustic wave equation; prism waves are constructed according to the bon theory; separating uplink and downlink waves; and outputting an imaging result. A novel frequency domain prismatic wave reverse time migration imaging method is provided, and a frequency sound wave prismatic wave reverse time migration algorithm is realized. The prismatic wave reverse time migration performs high-resolution imaging on underground high and steep structures, and provides more reliable data support for geological exploration.

The present invention relates to a data pulsing method, which belongs to the field of geological exploration technology, and specifically to a method for pulsing seismic data during excavation based on traveling wave separation. Compared with existing pulsing technologies, the present invention can effectively suppress the wave fields generated by interference sources, especially interference sources in the opposite direction from the survey line, such as sound waves, conveyor belts, and other moving vehicles. This can significantly improve the signal-to-noise ratio of effective waves, such as direct waves excited by the tunnel boring machine's seismic source and reflected waves from the front, thereby improving imaging reliability, enhancing the accuracy of advanced detection, and improving the accuracy of disaster prediction and forecasting.

The present application belongs to the field of microseismic monitoring, and relates to a microseismic P wave and S wave separation method based on CNN-LSTM and a multi-head attention mechanism. The technology comprises: constructing a data set, using microseismic data collected in a hot dry rock hydraulic fracturing field, and manually labeling the data; the data set includes microseismic data of different time periods and different background noise intensities; inputting the data set into a neural network composed of a convolution layer, an excitation layer, a pooling layer, a random hidden neuron (Dropout) layer, a long short-term memory (LSTM) layer, a multi-head attention mechanism layer and a full connection layer for training; after the training is completed, the model is saved; inputting the microseismic data to be separated into the trained model for separation, and finally obtaining the separation result of P wave and S wave.

The invention provides a broadband response distributed sound wave sensing method and device, and relates to the technical field of optical fiber sensing. Single-frequency continuous light beams are split, double-sideband frequency sweep modulation is performed on a first path to generate double-sideband frequency sweep light, short-pulse-width chirped pulse light and long-pulse-width chirped pulse light are obtained through frequency band selection and pulse interception, and the short-pulse-width chirped pulse light and the long-pulse-width chirped pulse light are synthesized and injected into a sensing optical fiber; backward Rayleigh scattering light signals are collected, long-pulse-width and short-pulse-width Rayleigh scattering light signals are separated through optical filtering, and spontaneous emission noise is suppressed and amplified; coherent beat frequency detection and phase demodulation are carried out on the long-pulse-width Rayleigh scattering light signal, spectrum correlation processing is carried out on the short-pulse-width Rayleigh scattering light signal to obtain time offset, disturbance information recovery is achieved, and a sound wave measurement result distributed along the sensing optical fiber is output.

The invention belongs to the field of ocean vibroseis data primary-multiple wave separation, and particularly relates to an ocean vibroseis data primary-multiple wave separation method for Doppler distortion, which comprises the following steps: acquiring a predicted primary wave and a predicted multiple wave; the predicted primary waves and the predicted multiples are inverted in a moving Bayesian primary-multiple separation method, a primary wave shearlet coefficient and a multiple shearlet coefficient are obtained, the predicted primary waves are moving ocean vibroseis primary waves predicted by adopting the SRME technology, the predicted multiples are moving ocean vibroseis multiples predicted by adopting the SRME technology, and the motion ocean vibroseis primary waves predicted by adopting the SRME technology are obtained. The primary wave shearlet coefficient is the shearlet coefficient of the primary wave of the static ocean vibroseis, and the multiple wave shearlet coefficient is the shearlet coefficient of the multiple wave of the static ocean vibroseis. And the calculation cost is reduced. The problem of interference of Doppler effect and free surface multiples in observation records acquired in the acquisition process of the marine vibroseis is solved.

Receiving device for receiving radio waves transmitted by a transmitter and for estimating the angle of incidence of a direct wave from the transmitter, comprising: first to Nth (where N is an integer not less than 2) wireless receiving devices, each provided corresponding to first to Nth antenna elements forming a group antenna, and performing frequency conversion and A / D conversion on first to Nth analog signals obtained by receiving the radio waves each through the first to Nth antenna elements to output first to Nth digital signals; First to Nth transmission channel estimation units for estimating transmission channel frequency characteristics based on the first to Nth digital signals, and outputting first to Nth transmission channel estimation results; a delay time estimation unit for estimating, by means of a super-resolution process, delay times of one or more arriving waves contained in the radio waves, based on a transmission channel estimation result within the first to Nth transmission channel estimation results; a delay time grouping unit for comparing the delay times estimated by the delay time estimation unit with a threshold to determine whether the estimated delay times are shorter than the threshold; first to Nth delayed wave removal units, each corresponding to the first to Nth transmission channel estimation units, which remove an incoming wave component from the first to Nth transmission channel estimation results according to the delay time determined by the delay time grouping unit to be equal to or greater than the threshold, and output the first to Nth transmission channel frequency characteristics with respect to the incoming waves of the delay times determined by the delay time grouping unit to be shorter than the threshold; first to Nth incoming wave separation units, each provided corresponding to the first to Nth delayed wave removal units, and each separating incoming wave components contained in the first to Nth transmission channel frequency characteristics from each other to extract first to Nth direct wave components; and an incidence angle estimation unit for estimating an incidence angle of the direct wave based on a phase difference between the first to Nth direct wave components.

The invention discloses a vertical measurement ionogram O / X wave separation method based on polarization matched filtering, and the method comprises the steps: obtaining a dual-channel complex signal, and carrying out the incoherent accumulation to obtain echo intensity; using an OS-CFAR detector and morphological processing to generate a mask; calculating a phase difference based on the mask, and fitting through a double-Gaussian mixture model to obtain O-wave and X-wave characteristic phases; estimating a complex polarization ratio; constructing a polarization matched filter weight vector, multiplying the polarization matched filter weight vector with the dual-channel signal, and separating to obtain an O / X wave complex signal matrix; a separated ionogram is generated through amplitude calculation and detection. The method does not depend on circular polarization hypothesis, actual polarization parameters can be directly estimated, high-precision separation is achieved through polarization matched filtering, and robustness and accuracy are improved.

The disclosed embodiments provide a method for separating and extracting GPR anomalous reflection waves, belonging to the field of data processing technology. The method specifically comprises: Step 1, creating a deep Res-CNN network structure; Step 2, establishing a GPR dataset with the deep Res-CNN network structure; Step 3, preprocessing the GPR dataset; Step 4, training a deep Res-CNN network weight model for separating and extracting GPR anomalous reflection waves using the preprocessed GPR dataset; and Step 5, using the deep Res-CNN network weight model to separate anomalous reflection waves from the actual collected data profile and extract valid reflection waves. The disclosed solution enables rapid separation and extraction of anomalous reflection waves from GPR data, laying the foundation for further accurate interpretation of subsurface anomaly features.

This invention discloses a MIMO-SAR echo separation method based on image post-processing in complex detection scenarios, belonging to the field of signal processing. The method includes: designing the MIMO-SAR transmit waveform and collecting echo signals using a multi-channel elevation system; performing range and azimuth compression sequentially on the received data from the multi-channel elevation system using a classic imaging algorithm to complete imaging processing; constructing an elevation-dimensional spatial snapshot signal based on the processed multi-channel data and estimating the sample covariance matrix using range samples; performing eigenvalue decomposition on the covariance matrix to estimate the number of sources in the spatial domain; estimating the angle of arrival (AHA) of the sources using the MUSIC algorithm, given a fixed number of sources; calculating the optimal weight vector based on the least squares criterion and processing the spatial snapshot to suppress interference signals in the echo, thus solving the echo separation problem in MIMO-SAR. This method can effectively mitigate the impact of AHA mismatch caused by terrain undulations on echo separation performance and improve the imaging performance of the MIMO-SAR system in complex detection scenarios.

This application belongs to the field of primary-multiple separation of marine controlled-source seismic data. Specifically, it provides a method for primary-multiple separation of marine controlled-source seismic data with Doppler distortion, comprising: acquiring predicted primary waves and predicted multiple waves; inverting the predicted primary waves and predicted multiple waves using a moving Bayesian primary-multiple separation method to obtain the primary wave shearlet coefficients and multiple wave shearlet coefficients. The predicted primary wave is a moving marine controlled-source primary wave predicted using SRME technology, and the predicted multiple waves are moving marine controlled-source multiple waves predicted using SRME technology. The primary wave shearlet coefficients are those of a stationary marine controlled-source primary wave, and the multiple wave shearlet coefficients are those of a stationary marine controlled-source multiple wave. This method reduces computational costs and solves the interference problems of Doppler effect and free surface multiple waves in the observation records acquired during marine controlled-source seismic data acquisition.

The application discloses a Loran-C carrier phase tracking method and system considering sky wave interference, and relates to the technical field of radio signal reception. The specific implementation scheme is as follows: a sky wave and a ground wave are separated to obtain an amplitude ratio and a time delay difference, and whether the sky wave is strong is determined according to the amplitude ratio; a phase discrimination correction number is calculated based on the amplitude ratio and the time delay difference, and an integral interval A of in-phase branch and quadrature branch signals of a carrier phase tracking loop is determined; the in-phase branch signal and the quadrature branch signal are integrated according to the integral interval A, a phase discrimination result is calculated, the phase discrimination result is corrected to obtain a phase discrimination correction value; and the local carrier is adjusted based on the phase discrimination correction value to realize carrier phase tracking. The method of the application expands the effective length of the Loran-C signal used for carrier phase tracking, optimizes the phase discrimination process of the Loran-C carrier phase tracking algorithm, and improves the carrier phase tracking performance.

This invention provides a method and apparatus for separating diffracted waves in shot-gathered seismic data, relating to the technical field of seismic exploration. The method includes: acquiring two-dimensional single-shot seismic data for a specified geographical area; processing the two-dimensional single-shot seismic data using a plane wave method to obtain the spatial coordinates of the virtual source point; determining the seismic data in the virtual source space and the target reflection wave extraction function based on the two-dimensional single-shot seismic data and the spatial coordinates of the virtual source point; the target reflection wave extraction function is a continuous function; determining the target reflection wave field data based on the spatial coordinates of the virtual source point, the seismic data in the virtual source space, and the target reflection wave extraction function; and removing the target reflection wave field data from the two-dimensional single-shot seismic data to obtain the diffracted wave field data. The application of the target reflection wave extraction function effectively avoids the loss of diffracted waves and the residue of reflected waves during the separation process, thus effectively alleviating the technical problem of poor diffracted wave separation effect in existing diffracted wave separation methods.

The invention provides an MIMO radar tensor decomposition four-dimensional parameter joint estimation method and device, and belongs to the technical field of radar signal processing. The method comprises the following steps: acquiring a radar echo signal received by an L-shaped receiving array after a space-time coding transmitting array of the MIMO radar transmits the radar echo signal, and reconstructing the radar echo signal into a third-order tensor; performing parallel factorization on the third-order tensor to obtain a corresponding factor matrix; and based on the factor matrix, extracting four-dimensional parameters of a target corresponding to the signal, including a two-dimensional direction of arrival, a wave departure direction and an unambiguous Doppler frequency. According to the method, through single tensor decomposition, the technical problems of complex parameter pairing, Doppler ambiguity and large combined estimation calculation amount in a traditional method are solved, and combined, unambiguous and automatic pairing high-precision estimation of four-dimensional parameters is realized.

The application provides a deep diffraction field velocity modeling method and device, electronic equipment and storage medium, relates to the deep resource exploration field, and the method comprises the following steps: obtaining diffraction wave separation data, constructing a common diffraction point multi-aperture angle gather through angle migration based on an edge diffraction model and a scatterer physical model, and capturing the diffraction response in the multi-aperture; according to the angle gather, a correction relationship between the diffraction point dip angle and the migration velocity is established; then, according to the correction relationship, for each common diffraction point multi-aperture angle gather, the diffraction field velocity spectrum of each diffraction point is calculated based on the local similarity and the mixed weight of the difference boot-strap; the diffraction wave velocity value of the focused signal is picked up through human-computer interaction; and finally, the model is constructed through interpolation. The application can effectively capture the weak energy of deep diffraction bodies, improve the focusing quality of the velocity spectrum, construct a refined velocity model, and provide support for imaging of deep dry hot rock and other unconventional reservoirs.

The application relates to a method and system for outputting a pre-stack migration aperture angle migration trace set, comprising the following steps: obtaining a migration velocity model and seismic data of a target area; simulating a source-end wave field and an orthogonal wave field thereof based on the migration velocity model, and reversely propagating to obtain re-constructed source-end wave field and orthogonal wave field thereof; placing the obtained seismic data at a detector end, and reversely propagating a wave field and an orthogonal wave field thereof at the detector end based on the migration velocity model; performing uplink and downlink wave separation on the wave field and the orthogonal wave field at the source end and the detector end; obtaining a slope-intention vector of a downlink wave field according to the downlink wave field and the orthogonal wave field at the source end, obtaining a slope-intention vector of an uplink wave field according to the uplink wave field and the orthogonal wave field at the detector end, and determining an aperture angle; imaging the downlink wave field at the source end and the uplink wave field at the detector end to obtain an imaging value, and extracting an aperture angle trace set of the target area, and the application can be widely applied in the field of geophysical exploration technology.

Provided herein is a method for separating Loran sky and ground waves based on a Levenberg-Marquart algorithm, including: (1) collecting a plurality of Loran sky-ground wave signals followed by normalization to obtain a normalized signal; (2) preprocessing the normalized signal by inverse Fourier transform method to obtain an initialization parameter; (3) establishing a mathematical model for the Loran sky-ground wave signals in time domain; and (4) solving parameters of the mathematical model using the Levenberg-Marquart algorithm to separate the Loran sky and ground waves.

The application belongs to the technical field of radar, and particularly relates to a satellite-borne detection radar transmitting signal determination, transmission and distance ambiguous echo separation receiving equipment, comprising the following steps: S1: determining the pulse repetition frequency of the transmitting signal; S2: initializing the orthogonal phase encoding linear frequency modulation signal; S3: optimizing the design of the orthogonal phase encoding linear frequency modulation signal; S4: transmitting the optimized orthogonal phase encoding linear frequency modulation signal; and S5: receiving the echo equipment. Through the optimization of multiple groups of pulse repetition frequencies and multiple groups of orthogonal encoding linear frequency modulation signals, the satellite-borne moving target detection radar repetition frequency selection and automatic separation receiving of arbitrary distance ambiguous echoes can be adaptively realized, so that better moving target detection performance is obtained.

The invention discloses an underground pipeline scattered wave separation imaging method and system and a medium, and relates to the cross technical field of geophysical exploration and digital signal processing, and the method comprises the steps: obtaining and preprocessing original seismic data, taking an obtained two-dimensional time-space domain seismic record as an input, and constructing a scattered wave sparse dictionary based on discrete shear wave transformation; establishing an objective function based on morphological component analysis, performing iterative solution by using a block coordinate relaxation algorithm, and alternately updating a scattering wave sparse coefficient and an interference wave sparse coefficient until a convergence condition is met; reconstructing a pure scattered wave field through shear wave inverse transformation according to the finally obtained scattered wave sparse coefficient; performing migration imaging on the pure scattered wave field to obtain a spatial position image of the underground pipeline; according to the separation imaging method, a complete pipeline scattering form can be identified and captured under a strong noise background.

The present application relates to a kind of diffracted wave separation methods based on multi-feature reuse hollow convolutional neural network.Based on hollow convolution and multi-feature reuse module, neural network is built, training data set is constructed by synthesizing data and actual data, neural network is trained, L1-multiple scale structural similarity index hybrid function is used to measure the distance between network output and label in training to obtain optimal network model;Seismic common offset data or poststack data are input into optimal network model, and separated diffracted wave data are obtained;According to seismic migration velocity file, the diffracted wave data separated by multi-feature reuse hollow convolutional neural network are migrated and imaged.This method can effectively remove steep dip reflection while preserving diffracted wave energy, and can solve the problems of diffracted energy loss and reflection residue in the process of diffracted wave separation.For the case where diffracted wave and reflection event cross, the separated diffracted wave is more complete.