595 results about "Pulse compression" patented technology

The invention relates to the technical field of radar signal processing, in particular to a radar target analytical calculation method based on multi-dimensional data fusion and a radar device. Comprising the following steps: deploying a multi-band radar sensor array comprising an X band, a C band and a Ku band in a radar monitoring area; performing pulse compression and Doppler processing on the time domain echo signal, and extracting a time domain feature; spectral analysis is carried out on the frequency domain signals, and frequency domain features are extracted; performing angle estimation on the spatial signals, and extracting spatial features; a dynamic weight distribution model is constructed, a fusion weight is calculated through an adaptive algorithm based on three-dimensional quality indexes of a real-time signal-to-noise ratio (SNR), feature stability (SI) and data integrity (CI), and a joint representation vector containing time domain, frequency domain and space multi-dimensional information is generated. According to the invention, by deploying the multi-band radar sensor array, the recognition capability of the subtle feature difference of the target is improved.

The invention provides a civil air defense engineering concealed conduit leakage positioning method based on acoustic characteristics, and belongs to the technical field of civil air defense engineering. An acoustic signal acquisition network is constructed by deploying a high-sensitivity hydrophone array, and signals are preprocessed by using a time division multiple access technology and a pulse compression technology; and carrying out time-frequency analysis by applying wavelet transform to extract acoustic features. A time reversal mirror technology is introduced to identify direct propagation and multipath reflection signals, a fluid acoustic coupling propagation equation is constructed to analyze a leakage sound source mechanism, and pipe network topological information and a sound wave speed correction function are combined to compensate a measurement error. Wherein the deep learning pipe network acoustic propagation multi-modal model is fused with a pipeline structure encoder, an acoustic feature extractor and a position prediction decoder, and high-precision leakage positioning and degree evaluation in a complex environment are realized through a three-stage pre-training strategy; the technical problem that it is difficult to accurately locate the position of a leakage point in the complex pipe network environment of civil air defense engineering is solved.

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

The invention discloses a multi-channel radar foresight imaging method based on sparse and weighted low rank, and solves the problem that the foresight super-resolution imaging effect is limited in a complex imaging scene in the prior art. The method comprises the following steps: establishing an echo signal model in a multi-channel radar single-transmitting single-receiving mode, and obtaining an echo signal corresponding to each target; carrying out pulse compression and correction processing, representing a two-dimensional echo matrix, and carrying out weighting processing on a target signal matrix in the two-dimensional echo matrix to obtain a weighted target signal matrix with a low-rank characteristic; obtaining a foresight imaging model according to the sparsity of the target in the echo signal model and the low-rank characteristic of the weighted target signal matrix; solving the foresight imaging model based on ALM under an ADMM framework to obtain a reconstructed foresight high-resolution image; according to the method, the high-quality and high-resolution reconstructed foresight high-resolution image is obtained through sparse and weighted low-rank dual constraints.

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

The invention discloses a single-bit composite interference generation method for a radar, and the method comprises the steps: generating a digital orthogonal linear frequency modulation signal based on a direct digital frequency synthesis technology module, and correspondingly generating a linear frequency modulation signal, thereby generating a radar signal, and carrying out the signal transmission process of the radar; obtaining first user setting, selecting target threshold data, and carrying out single-bit sampling quantization on the radar signal to obtain a plurality of single-bit data so as to carry out a single-bit interception process; obtaining a second user setting, selecting a target interference modulation mode, and performing interference modulation on all single-bit data to obtain a composite interference modulation signal; and outputting the composite interference modulation signal according to the digital signal output setting and the analog signal output setting so as to carry out an interference forwarding process. According to the method, single-bit interception can be carried out on radar signals, rapid composite interference modulation can be completed, and interference countermeasure on a pulse compression system radar device is completed in combination with verification of a semi-physical device.

The invention provides a vortex electromagnetic wave radar multipath virtual image suppression method and system, and relates to the technical field of radar imaging virtual image suppression, and the method comprises the steps: adjusting the circular ring radiuses corresponding to different modes in a uniform concentric circular ring array according to the prior information of a target pitch angle, and obtaining the radar emission configuration of main lobe alignment; performing time domain sampling on the multi-path vortex radar echo signal in each mode to form a two-dimensional radar echo matrix; analyzing the obtained two-dimensional radar echo matrix and the MISO system echo after phase compensation by using an azimuth dimension point spread function to obtain dual-system imaging features; and performing modal domain FFT and time domain pulse compression processing on the multipath echo features under the MISO and MIMO systems by using fast Fourier transform and pulse compression, and finally outputting a virtual image suppressed synthetic radar image. The multi-path virtual image suppression method has the beneficial effects that the suppression of the multi-path virtual image is realized by utilizing the characteristic that the real image positions of the imaging results are completely the same and the virtual image positions are different under the multi-transmitting and single-receiving systems.

The invention discloses a method, a system and a device for realizing high-repetition-frequency wide-width imaging, and relates to the technical field of high-repetition-frequency wide-width imaging, and the method comprises the steps: carrying out the pulse compression of large-size imaging echo data; setting the number of accumulation frame periods and the number of imaging areas; a first cache, a second cache, a first processing core and a second processing core are arranged, high repetition frequency imaging accumulation is conducted on pulse pressure data of multiple accumulation frame periods through the first cache, the second cache, the first processing core and the second processing core, and high repetition frequency imaging accumulation results corresponding to multiple imaging areas are spliced. Based on this, the dual-core model separates the control flow and the imaging accumulation process, and the two cores perform parallel processing, so that the processing speed can be improved; an imaging accumulation process is divided into pulse pressure cache and imaging hardcore accumulation by a double-cache technology, and the repetition frequency is improved by optimizing time efficiency through a memory; and the imaging data is divided into a plurality of areas for respective imaging, so that the problem of imaging sheet limitation can be solved.

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 provides a radar signal multi-target tracking method and system based on a dynamic graph convolutional network. The method comprises the following steps: acquiring a radar one-dimensional range profile sequence of a target cluster, and performing pulse compression to form a radar echo two-dimensional sequence; separating position and amplitude data of aliasing scattering points based on scattering point distribution characteristics; calculating a spatial distance between targets by using position information, constructing a dynamic edge weight in combination with a radial speed difference, and generating a shielding relation edge; aggregating neighborhood features through a dynamic graph convolutional network, and learning trajectory decoupling features of the occlusion and intersection regions; and generating association weights based on the decoupling features, inputting the association weights into a multi-hypothesis tracking algorithm, generating a multi-branch trajectory, and if the spatial distance between two branches is smaller than a dynamic threshold value and the velocity vector included angle exceeds a set angle, retaining a branch with a higher association weight, and outputting a multi-target trajectory sequence. According to the invention, the multi-target tracking precision and robustness in a shielding and trajectory crossing scene are significantly improved.

The invention provides a target positioning method and system based on a distributed networking radar system, and belongs to the technical field of radars, and the method comprises the steps: controlling a plurality of radar nodes to transmit stepping linear frequency modulation continuous wave pulse signals, and collecting target echoes; carrying out band-pass filtering, pulse compression and fast time synchronization processing on the echoes, and generating interference-free data through a moving target extraction algorithm; realizing cross-node clock synchronization based on a moving target behavior cognition model and a template matching algorithm; constructing a multi-node distance estimation equation set, generating an accurate distance value through calibration broadband synthesis and FFT, and determining a target three-dimensional coordinate; and generating a motion track and speed prediction through Kalman filtering based on the target position sequence. The system comprises a signal emission and acquisition module, a signal processing module, a clock synchronization module, a distance estimation and coordinate fusion module and a trajectory prediction module. The method supports multi-target tracking, improves positioning precision and time synchronization precision, has few errors, and is compatible with any node deployment form.

The invention belongs to the technical field of radial artery compression hemostats, and particularly relates to a radial artery hemostasis method based on real-time pulse analysis and a hemostat control system. A slow and continuously changing force is applied to a radial artery puncture opening through the pressure applying module, meanwhile, the pulse detection module transmits a pulse forced feedback signal of the puncture opening to the main control module in real time, and the main control module analyzes and processes the received feedback signal in real time and judges the current hemostatic state of the radial artery. And on this basis, the pressure applying module is controlled to adjust the pressure. The method is characterized in that the relation between pulse forced feedback signals and the forced state of the radial artery is obtained through clinical tests according to the difference of the pulse feedback signals of the radial artery in different pressed states, and therefore the pressure is stabilized in the state that the blood flow of the radial artery is stable and a puncture opening does not bleeding. According to the scheme, the individual difference between different patients can be overcome, the compression hemostasis strength is adjusted in a self-adaptive mode, and the occurrence rate of related complications such as radial artery occlusion is effectively reduced.

The invention provides an ultrasonic detection method for internal defects of an insulating part of a power system based on a piezoelectric ultrasonic transducer, and belongs to the technical field of insulating part detection. After wavelet denoising and deep attenuation compensation are carried out on echo signals, sound path distance time delay and sound pressure amplitude parameters are extracted, defect identification and position estimation are carried out by utilizing a layered variational auto-encoder, a high-frequency transducer is switched to aiming at tiny defects, a harmonic component is extracted by adopting a nonlinear ultrasonic method, and a characteristic size is calculated; a defect distribution space feature matrix is generated based on a synthetic aperture focusing technology, a unified or personalized processing strategy is selected according to an acoustic characteristic homogenization degree evaluation value, a complete defect detection result is output, and the technical problem that deep weak defects in the electric insulation part are difficult to accurately detect and recognize is solved.

The invention relates to the field of radar detection and signal processing, and particularly discloses a radar data technology system for monitoring a tiny target, and the system comprises a signal receiving and transmitting module which is used for generating and transmitting a linear frequency modulation signal based on a linear frequency modulation technology, and receiving an original echo signal reflected by the target; the pulse compression processing module is used for performing complex convolution operation on the original echo signal based on a matched filter to generate a compressed pulse signal; the multi-pulse coherent accumulation module is used for performing frequency domain energy accumulation on a plurality of compressed pulse signals of the same distance unit based on a discrete Fourier transform technology; and the Kalman filtering tracking module is used for processing the signals after multi-pulse coherent accumulation through a Kalman filtering algorithm, predicting and updating a target state in real time, and generating final trace point data. According to the invention, through key technologies of large-time wide-bandwidth pulse compression, multi-pulse coherent accumulation and the like, the detection capability of the radar on a tiny target is remarkably improved.

The application discloses a method for simultaneously resisting suppressing interference forward-looking imaging of a missile-borne forward-looking array radar, adopts an array antenna in a cut-off track direction to receive echoes of a forward-looking area, and samples to obtain distance-pulse-array three-dimensional echo data; pulse compression in the distance direction is performed on the three-dimensional echo data, a pulse compression reference function and a migration correction factor are multiplied in the frequency domain, and high resolution in the distance direction is realized; multi-channel receiving data of each distance-pulse unit is selected, and is sequentially arranged to form a corresponding space snapshot of the unit; a covariance matrix of interference and noise is established, and the maximum likelihood estimation value of the target angle and amplitude in the interference environment is approximately solved by using an adaptive single-pulse algorithm on the space snapshot signal of each distance-pulse unit after distance pulse compression; and the angle measurement result is projected to the distance-azimuth domain, and through space coordinate conversion, a two-dimensional forward-looking imaging diagram is obtained. The application realizes high-resolution imaging of a forward-looking target while effectively suppressing main lobe suppressing interference.

The invention relates to a wind profile radar signal and data processing method and system, and the method comprises the steps: constructing a working parameter combination of a wind profile radar, and designing a radar detection mode of the wind profile radar based on the working parameter combination; the wind profile radar collects external wind field data based on the radar detection mode to obtain a wind profile radar signal; performing signal processing based on the obtained wind profile radar signal; performing pulse compression, moving target detection and Doppler spectrum analysis on the wind profile radar signal; extracting wind profile radar data from the processed wind profile radar signal, and processing the wind profile radar data; performing wind field inversion and quality control on the wind profile radar data; and constructing a three-dimensional wind field based on the processed wind profile radar data. According to the scheme, complete acquisition of weak meteorological echo signals under a clear sky condition is effectively ensured, and the accuracy of wind field inversion is improved.

The invention belongs to the field of particle accelerator microwaves, and particularly relates to a C-band compact spherical microwave pulse compression device which comprises a shell, a dual-polarization mode coupler and a circular waveguide, a spherical energy storage cavity is formed in the shell, and the circular waveguide and the spherical energy storage cavity are communicated through a coupling hole; the dual-polarization mode coupler comprises a rectangular waveguide, a butterfly-shaped matching section and a cylindrical matching section. According to the klystron radio frequency pulse compression circuit, the radio frequency pulse with the pulse width of 2.5 microseconds of the klystron can be compressed to 300ns, the average power gain in a single pulse is more than 4 times, the peak power gain is 6.3 times, and the compression efficiency is about 54%. According to the dual-polarization mode coupler, the functions of power distribution, mode conversion and polarization mode generation are synchronously realized, a TE10 mode in a rectangular waveguide is converted into two polarization TE11 modes which are equal in amplitude and orthogonal in phase, and then the two orthogonal TE114 modes are excited in a spherical energy storage cavity.

The invention discloses a generating device capable of generating an ultra-flat broadband micro comb. The generating device comprises a pump pulse generating module, a micro comb generating module and a micro comb generating module, the pumping pulse compression module is connected with the pumping pulse generation module; the high-Q-value microcavity module is connected with the pumping pulse compression module; and the micro comb detection and feedback module is respectively connected with the high-Q-value micro-cavity module and the pump pulse generation module, and is used for monitoring the output spectrum and power change of the high-Q-value micro-cavity module and adjusting the output wavelength of the picosecond pulse light according to the output spectrum and power change so as to stabilize the ultra-flat broadband micro comb. By arranging the high-Q-value micro-cavity, the spectral bandwidth of the micro-comb can be effectively expanded, and the ultra-flat broadband micro-comb is output; meanwhile, the defects that the hyperbolic secant single soliton micro-comb is poor in flatness and narrow in bandwidth are overcome, and the micro-comb has obvious advantages in the application field with high requirements for the flatness and the spectral bandwidth at the same time.

The application discloses a dual-channel parallel detection airborne phased array radar ground moving target extraction method, comprising the following steps: acquiring coherent pulse train data of an airborne phased array radar; forming sum-difference beam data according to preset sum-difference beam weighting coefficients; constructing a pulse compression matching function to perform pulse compression on the sum-difference beam data; performing platform motion compensation and pulse Doppler processing on the pulse compressed sum-difference beam data; performing high-speed channel determination according to amplitude statistical results of each Doppler unit of the sum beam, and performing CFAR detection; performing low-speed channel determination according to the amplitude statistical results of each Doppler unit of the sum beam, processing low-speed channel data by using sum-difference 3DT-STAP algorithm, and performing CFAR detection and amplitude normalization processing on the processed data; merging the CFAR detection results of the high-speed channel data and the CFAR detection and amplitude normalization processing results of the low-speed channel data, and extracting a point track.

The invention discloses a bistatic radar high-speed target detection method based on space-time Doppler coherent accumulation, and the method comprises the steps: building a bistatic array radar system signal echo model, and carrying out the pulse compression processing of radar echo data; based on the array receiving signal, the direction matrix of the receiving beam and the corresponding weight vector, performing simultaneous multi-beam forming processing on the signal after pulse compression to obtain a signal after beam forming; constructing a beam compensation function; performing transformation compensation on the signal after beam forming by using a beam compensation function to obtain a signal after beam walking correction; performing line demodulation processing on each beam of the signal after beam walking correction to obtain a two-dimensional signal of a distance-modulation frequency domain; and detecting to obtain a target detection result. According to the method, the effects of range migration, pitching beam migration, azimuth beam migration and Doppler frequency migration can be effectively eliminated, the detection performance of the high-speed moving target is improved, and accurate positioning and speed estimation of the high-speed moving target are realized.

The invention relates to a tunable high-repetition-frequency high-power multi-wavelength optical pulse generation system, which belongs to the technical field of optoelectronic equipment and is structurally characterized in that the output end of a seed pulse source (1) is connected with the input end of a repetition-frequency multiplication module (2), and the output end of the repetition-frequency multiplication module (2) is connected with the input end of a shaping optical path module (3); the output end of the shaping light path module (3) is connected with the input end of the power amplification module (4), and the output end of the power amplification module (4) is connected with the input end of the pulse compression module (5); a multi-wavelength pulse seed source is designed by using a plurality of hybrid filters, and tunable multi-wavelength, high-repetition-frequency and high-power narrow pulse output is realized by using technologies such as an MZI-Sagnac hybrid repetition-frequency multiplication structure and the like.

The invention particularly relates to an airborne SAR distance compressed domain sea clutter suppression method based on generalized gamma distribution, and the method comprises the steps: carrying out the range pulse compression processing of an echo signal received by an airborne SAR, and extracting a pure sea clutter sample from compressed data through employing a non-local sampling strategy; then, a generalized gamma distribution model is quickly fitted for the clutter samples by using an analytical method based on a second type logarithmic cumulant, and a self-adaptive detection threshold is solved through an incomplete gamma function based on the model and a set false alarm probability. And finally, according to the threshold value, carrying out judgment and filtering on distance compressed domain data, suppressing clutter regions lower than the threshold value, and meanwhile, retaining potential target signals, thereby realizing efficient and steady clutter suppression under complex sea conditions.

The invention discloses a non-contact method for measuring a three-dimensional flow velocity field in a pipeline based on acoustic Doppler, and the method comprises the steps: transmitting a focused sound beam into the pipeline, receiving an echo signal reflected by a scatterer in fluid, and generating a Doppler echo signal set covering different angles and depth positions; performing pulse compression and time-frequency analysis on the Doppler echo signal set, and calculating the sight flow velocity component of each point along the sound beam direction; calculating a three-dimensional flow velocity vector of each sampling point based on the coordinate position of each space sampling point and the corresponding sight line flow velocity component, and realizing decoupling of the flow velocity direction and size; according to the spatial distribution of the three-dimensional flow velocity vector on the section of the pipeline, a three-dimensional flow velocity field model in the pipeline is generated through interpolation fitting, and section flow and flow state characteristic parameters are calculated according to the model. According to the embodiment of the invention, the limitation that only two-dimensional or one-dimensional flow velocity can be measured in a traditional method can be broken through, and the spatial resolution and measurement precision of flow velocity field reconstruction in a complex flow state are improved.

The invention relates to the technical field of radar target recognition, and discloses a radar target recognition method and system. The method comprises the following steps: acquiring an original echo signal sequence acquired by a radar sensor, and performing noise suppression and pulse compression processing on the original echo signal sequence by using a signal preprocessing unit to generate preprocessed radar echo data; based on the preprocessed data, fusing to generate a comprehensive feature description vector of the target; a dynamically updated target feature association network is constructed, network nodes represent feature sets of different targets, network edges represent space-time association or feature similarity among the targets, and an online learning mechanism is adopted to continuously optimize a network topology structure; according to the real-time comprehensive feature description vector, gradually positioning a potential target area in the target feature association network by adopting a hierarchical focusing mechanism; and in the potential target area, a candidate target set is screened through a multi-dimensional similarity measurement algorithm, and candidate targets are sorted and output according to a feature consistency criterion.

According to the megawatt-level half-cycle power generator based on the magnetic pulse compression system, by designing the constant-current magnetic switch reset circuit and the PID voltage stabilization charging technology, the pulse jitter characteristic within 10 ns can be achieved on the premise that megawatt-level power is output, the control precision is greatly improved, and stable output of high-power pulses is achieved. The problem that pulse generated by a traditional magnetic pulse compression amplifier is large in delay jitter is solved, high-precision output of megawatt-level pulses can be achieved, the high-precision magnetic pulse compression amplifier can be applied to a high-power transmitter needing to accurately control pulse output time, the high switching frequency and high switching efficiency of an MOS tube and the pulse compression characteristic of a magnetic switch are combined, and the high-precision magnetic pulse compression amplifier is achieved. The magnetic pulse power source has the advantages of high output power and high efficiency, improves the amplitude and phase stability of the output pulse compared with the traditional magnetic pulse power source, and expands the application scene and platform.

The invention relates to the technical field of classification and recognition, and provides a radar rotor target classification and recognition method, device and equipment and a medium, and the method comprises the steps: carrying out the digital processing of a radar rotor signal, uploading the radar rotor signal after pulse compression to a digital signal processing unit, extracting signal features and track features corresponding to the radar rotor signals in the digital signal processing unit, and identifying a first classification result of the rotor unmanned aerial vehicle according to the signal features and the track features; extracting a micro-motion feature of the radar rotor signal, and extracting a frequency band corresponding to the micro-motion feature through a band-pass filter; extracting a time-frequency graph corresponding to the frequency band uploaded to the radar terminal storage device, and identifying the time-frequency graph to obtain a second classification result of the rotor unmanned aerial vehicle; and fusing the first classification result and the second classification result to obtain a target classification recognition result corresponding to the rotor unmanned aerial vehicle. According to the invention, the accuracy of rotor unmanned aerial vehicle classification and identification can be improved.

The invention belongs to the technical field of image processing, and discloses a three-dimensional radar sub-aperture imaging deformation monitoring device and method, and the device comprises a radar which is used for collecting echo signals passing through a preset position, processing the echo signals according to frequency mixing and analog-to-digital conversion, obtaining a three-dimensional echo matrix, and outputting the three-dimensional echo matrix; the three-dimensional echo matrix and a sampling ending signal are sent to a motion compensation module; the motion compensation module is used for resampling the azimuth direction of the three-dimensional echo matrix by adopting an interpolation algorithm; the distance matching filtering module is used for performing pulse compression on the distance direction of the three-dimensional echo matrix; the migration correction module is used for carrying out migration correction on the distance direction of the three-dimensional echo matrix after pulse compression; the sub-aperture imaging module is used for calculating a three-dimensional echo matrix after migration correction according to a sub-aperture imaging algorithm; and the deformation monitoring module is used for performing interference difference processing on the three-dimensional complex image to obtain deformation data. The imaging quality and the deformation monitoring precision can be improved.

The invention discloses an electromagnetic pulse simulation method and device, electronic equipment and a storage medium, and relates to the technical field of electromagnetic pulse simulation. The pulse compression loop module is used for performing sharpening treatment to form a double-exponential waveform conforming to high-altitude electromagnetic pulse characteristics, and meanwhile, an upper polar plate and a lower polar plate of the transmission line structure module are used for converting pulse energy into a bounded wave radiation field so as to simulate the coupling effect of the high-altitude electromagnetic pulse on ground equipment; and finally, a PoE port effect experiment module is injected to evaluate the response characteristic, the damage mechanism and the system-level failure behavior, so that the problems of insufficient waveform reproduction precision, huge system size and difficulty in deployment caused by the adoption of a traditional Marx generator and a modular splicing structure in an existing high-altitude electromagnetic pulse simulation method can be solved; the technical effect of improving experiment repeatability and protection design accuracy is achieved.

The invention provides a femtosecond pulse width precision adjustment compensation device and method, and relates to the technical field of laser processing, the device comprises a mode locking seed source, a stretcher, an amplifier, a first compressor and a second compressor; the second compressor comprises a movable reflecting mirror, a climbing mirror, a grating and a grating base material; the movable reflecting mirror is configured to adjust the diffraction times of the femtosecond laser on the grating by changing the distance between the movable reflecting mirror and the grating base material; the grating base material is made of a nonlinear material and is used for generating a self-phase modulation effect under the action of femtosecond laser to realize spectrum broadening and pulse compression; precise adjustment compensation of the femtosecond pulse width is achieved by adjusting the diffraction times. The invention provides a technical scheme which not only can bear high-power and high-energy laser, but also can realize on-line precise adjustment and compensation of pulse width.

The invention discloses a time-frequency cooperative multi-sub-pulse adaptive matched filtering main lobe intermittent sampling interference resisting method, which comprises the following steps of: modeling a radar multi-sub-pulse transmitting signal to obtain an echo signal, modeling a radar system total receiving signal, filtering an interference signal, recovering a target signal, and obtaining a pulse pressure result. According to the method, multi-channel pulse compression is completed, then distance gate alignment is carried out, finally, distance and speed information of a real target is further highlighted through intra-sub-pulse coherent accumulation and inter-sub-pulse coherent accumulation, and intermittent sampling interference is effectively suppressed. According to the method, a multi-sub-pulse structure is utilized, the interception length of a single sub-pulse by a jammer can be reduced, so that the interference degree of the single sub-pulse is reduced, and the intermittent sampling interference can be effectively suppressed under the condition that interference prior information does not need to be known.