111 results about "Slant range" patented technology

The invention provides a three-dimensional positioning method and system for a satellite-borne multi-base radar system based on weighted linear iteration, and the method comprises the steps: obtaining radar echo data of a plurality of receivers, carrying out the effective detection of a target, and carrying out the searching of a pitch angle and a space taper angle of a target signal through a two-dimensional adaptive filtering technology, obtaining two-dimensional angle estimation information of the target at different bases and different visual angles; constructing a nonlinear equation set according to two-dimensional angle information and slope distance information of the target under different visual angles, and performing first-order Taylor expansion on the nonlinear equation set to obtain a corresponding linear overdetermined equation set; and forming a precision matrix according to the known measurement precision of the radar system, and carrying out normalization operation and iterative solution on the linear overdetermined equation to obtain the three-dimensional coordinate of the target in the earth-centered earth-fixed coordinate system, thereby obtaining the latitude, longitude and height information of the target, and realizing the high-precision three-dimensional positioning of the multi-static radar system.

On the basis of tight coupling of the SINS and the USBL, a dual-hydrophone differential model is provided, constant errors in USBL measurement are eliminated, and the influence of slant range noise on navigation precision is relieved; a measurement equation of a dual-hydrophone differential model is established, so that the precision and reliability of the integrated navigation system are improved; a robust iterative Kalman filtering algorithm based on approximate least-square estimation is introduced, measurement dimensions are comprehensively evaluated, measurement noise covariance is dynamically adjusted, and the numerical stability and robustness of the algorithm are improved. According to the method, whether the measured data at the current moment is an abnormal value or not is judged according to previous data, the robust weight is reasonably distributed to the measured data, the adverse effects of subsequent steps such as state estimation are reduced through a method of reducing the weight of the abnormal value, and normalization operation is carried out on the measured residual error according to the adverse effects, so that the residual error distribution is more regular, and the accuracy is improved. And the updating result of the measurement noise covariance is further optimized, so that the precision of the whole Kalman filtering algorithm is improved.

The invention provides a distributed MIMO clutter echo simulation method based on GIS information, and the method comprises the steps: obtaining the GIS information of a geographic information system, and dividing a surface scatterer irradiated by an MIMO radar into a plurality of basic scattering units based on the GIS information; calculating slope distances, Doppler frequencies, terrain elevation values and land cover types of the plurality of basic scattering units to form a scene model element set; mapping a plurality of basic scattering units to a radar resolution unit by combining a backscattering coefficient empirical model and a resolution adaptive grid mapping method according to the scene model element set; dividing the radar resolution unit into a permanent scattering area and a dynamic scattering area according to GIS information; performing clutter statistical characteristic simulation processing on the permanent scattering region and the dynamic scattering region to obtain a clutter amplitude sequence; and performing echo analysis processing on the clutter amplitude sequence in a time-frequency domain to obtain clutter echo simulation data. And the simulation precision of clutter echo simulation data is integrally improved.

The application discloses a fusion positioning algorithm based on low-orbit satellite Doppler measurement, DME and VOR, relates to the technical field of satellite navigation, and comprises the following steps: acquiring the Doppler frequency shift of a low-orbit satellite, the slant range information of a DME and the azimuth angle data of a VOR, constructing a combined observation equation, and obtaining a corresponding Jacobian matrix; based on a geometric dilution of precision, selecting stations and stars through a genetic algorithm, optimizing the selection of the DME, the VOR and the low-orbit satellite, and obtaining an optimal navigation source combination; constructing a motion model under different flight modes, and dynamically estimating the state of an aircraft by using an interactive multiple model Kalman filter, and updating the position information in real time. Therefore, the real-time positioning of the aircraft under complex conditions is realized, the anti-interference capability of the system is improved, and the overall positioning precision and stability of the system are improved.

The invention discloses a time domain point-by-point imaging method, system and device for receiving and transmitting synthetic aperture sonar, and the method comprises the steps: calculating the synthetic aperture length and synthetic aperture time for any pixel in an imaging region; calculating the distance between the sonar and the pixel at the moment of transmitting the signal, and calculating the distance between the sonar and the pixel at the moment of receiving the signal to obtain an accurate two-way slant range process; calculating a reference echo signal corresponding to the pixel according to a two-way slant range process and related parameters of the signal; carrying out range-to-frequency domain conversion on the actually measured echo signal, carrying out range-to-frequency domain conversion on the reference echo signal, and carrying out conjugate multiplication processing on a conversion result; coherent accumulation is carried out on all conjugate multiplication results, and the result is used as an imaging result of the pixel; and for other pixels in the imaging area, repeatedly executing the steps to obtain imaging results of all pixels in the whole imaging area.

The invention discloses a receiving and transmitting combined synthetic aperture sonar distance stack imaging method, system and device, and relates to the technical field of image processing, and the distance stack imaging method comprises the steps: calculating a two-way slant range course for a reference point target in an imaging region; calculating a reference echo signal of a reference point target based on the two-way slant range course and the parameters of the transmitted signal, and performing two-dimensional frequency domain transformation to obtain a reference frequency spectrum; two-dimensional frequency domain transformation is carried out on an original actually-measured echo signal of the receiving and transmitting combined synthetic aperture sonar to obtain an echo frequency spectrum, and conjugate multiplication is carried out on the echo frequency spectrum and a reference frequency spectrum in a two-dimensional frequency domain; coherent accumulation is carried out in a range direction frequency domain according to a conjugate multiplication result, and inverse Fourier transform is carried out in an azimuth direction; and processing the pixels at other distances in the imaging area according to the steps to obtain processing results of all the pixels in the whole imaging area, and carrying out carrier frequency removal on the basis to obtain an imaging result of the whole imaging area.

The invention discloses a squint synthetic aperture sonar imaging method based on a dynamic slant-range space-variant model, and relates to the technical field of synthetic aperture sonar imaging, and the method comprises the steps: constructing a dynamic slant-range model; inputting the converted data into the dynamic oblique variation model to obtain a residual space-variant distance bending amount, and compensating the space-variant distance bending amount by using a first filter; according to the dynamic slope distance model, expanding the azimuth time offset into an azimuth frequency modulation factor; based on the azimuth frequency modulation factor and the azimuth time offset, designing a second filter by using an improved extended nonlinear frequency modulation scaling algorithm, and filtering the corrected data by using the second filter; and carrying out Fourier transform on the filtered data, compressing the transformed data by using a third filter, and then carrying out inverse Fourier transform to obtain a focused synthetic aperture sonar image. According to the invention, the imaging performance and stability of the imaging algorithm in a low signal-to-noise ratio and strong multipath interference environment can be improved.

The invention belongs to the technical field of inverse synthetic aperture radars, and particularly relates to a tidal deformation dynamic modeling and parameter inversion method based on hybrid GRFT. The specific process is as follows: dynamic slope distance and echo modeling: aiming at each scattering point of a target celestial body, combining a radar position and introducing three-dimensional rotation correction caused by rotation to calculate a dynamic slope distance, and simulating a radar echo signal based on the dynamic slope distance; echo processing based on mixed GRFT: performing pulse compression on echo signals, compensating phase errors caused by rotation and deformation in sub-apertures by using the mixed GRFT, and performing non-coherent superposition on GRFT output of each sub-aperture; searching parameters: setting a search range of initial height and dynamic viscosity of each scattering point, setting a fitness function as non-coherent superposition energy synthesis of each scattering point, and searching in the search range until a termination condition is met; and tide deformation quantity calculation: calculating the tide deformation quantity according to the estimated values of the initial height and the dynamic viscosity of the searched scattering points.

The invention relates to an interferometric synthetic aperture radar (InSAR)-based measurement method and system, and the method comprises the steps: determining the prior positions of a plurality of targets, and providing the prior positions to a ground processing unit; shooting an area where a plurality of targets are located by using an SAR satellite, and sending the obtained data to a ground processing unit; determining a phase difference between the targets for a single shot of the target; according to the determined phase difference and the SAR load wavelength, the slope distance between the targets is calculated through a ground processing unit; according to the slope distance and the satellite orbit information, the position relation between the targets is determined through a ground processing unit. The measuring system at least comprises a ground processing unit and an acquisition unit. According to the invention, shooting at the same track inclination angle and different track inclination angles can be realized, the limitation of heavy track shooting conditions in the prior art is broken through, and high-frequency and high-precision surface micro deformation measurement can be realized for different application scenes.

This invention discloses a method for characterizing the imaging resolution of arbitrary trajectory cooperative detection synthetic aperture radar (SAR) based on fuzzy functions. The method includes: constructing an arbitrary trajectory cooperative detection SAR synthetic aperture radar imaging geometric model and a target plane geometric model; acquiring the slant range history of the arbitrary trajectory cooperative detection SAR and the echo signal after range-direction matched filtering in the two-dimensional time domain; constructing a SAR generalized fuzzy function based on the slant range history and the echo signal after range-direction matched filtering in the two-dimensional time domain; acquiring a normalized SAR generalized fuzzy function; acquiring the range resolution based on range resolution information; acquiring the azimuth resolution based on azimuth resolution information; and constructing a complete arbitrary trajectory cooperative detection SAR imaging resolution model based on the range resolution and azimuth resolution. This invention can effectively characterize the resolution performance in any direction.

The application discloses an aircraft landing interval five-edge slant distance automatic calculation method and system, relates to the field of aviation, and comprises the following steps: acquiring a data set of incoming flights, and sorting the flights in the data set of incoming flights to obtain an ordered flight sequence; for each flight in the ordered flight sequence, determining whether the flight can be used as a preceding aircraft; if yes, acquiring an original track point set of the flight; screening track points meeting preset requirements from the original track point set of the flight, and taking the track points as an effective track point set of the flight; obtaining a runway and an actual landing site of the flight according to the effective track point set of the flight; according to the actual landing site of the flight, finding out a following aircraft of the flight, and determining a spatial distance between the flight and the following aircraft and an interval type between the flight and the following aircraft. The application can accurately calculate the spatial distance between the preceding aircraft and the following aircraft, automatically determine the interval type, and does not need manual intervention.

The application provides a kind of InSAR deformation monitoring point high-precision geometric positioning method combined with three-dimensional model data, belongs to synthetic aperture radar technical field, comprising: converting three-dimensional model data into space rectangular coordinates, combined with satellite orbit parameter iteration to solve row and column coordinates in SAR image, calculate the slant range projection distance of satellite-observation vector, screen and eliminate invalid data in shadow area;With the screening result as a mask, obtain a subset of three-dimensional model data, calculate the row and column coordinates of the InSAR deformation monitoring point of the subset of three-dimensional model data, and search for candidate points based on plane geometric constraints, match the accurate elevation of the monitoring point by height system deviation;Based on the determined accurate elevation, construct the RD positioning model of distance constraint, Doppler frequency constraint and ellipsoid constraint, and solve the high-precision geometric position of InSAR deformation monitoring point. It can realize the high-precision geometric positioning of infrastructure InSAR deformation monitoring point, and improve the applicability in infrastructure fine deformation monitoring.

The invention discloses a distributed radar target detection method and device based on space-time unified compensation, and the method comprises the steps: determining a slope distance process expression between each radar in a distributed radar and a target object for each echo signal group; based on the slant range process expression, respectively constructing an envelope range walking correction function and a frequency domain phase compensation function between radars; according to the to-be-solved parameters of the target object and the parameters of the target radar corresponding to the echo signal group, respectively constructing a range walk correction function and a time domain phase compensation function in each radar; constructing a space-time two-dimensional compensation function according to the envelope range walk correction function, the frequency domain phase compensation function, the range walk correction function and the time domain phase compensation function; the phase-coherent accumulation echo signal expression constructed according to the space-time two-dimensional compensation function and the to-be-solved parameters of the target object is solved, the parameter target value of the target object can be obtained, and the target detection accuracy of the distributed radar is improved.

The application provides a kind of based on quasi-cone scanning's airborne depth laser radar system structure error's calibration method and device, comprising: establishing structure error calibration field;Global control coordinate system is established, and the coordinates of global control point, survey station, local control point and airborne depth laser radar mirror center are obtained using total station;Based on laser radar, the slant range from mirror center to laser reflection is obtained, and the laser foot point is pasted, and the laser foot point coordinates are obtained using total station;Based on the displacement and rotation geometric relationship between laser scanning reference coordinate system and global control coordinate system, error equation is constructed according to slant range, drive motor rotation angle and laser foot point coordinates;Based on the least square indirect adjustment principle, error equation is solved iteratively, and the structure error value of airborne depth laser radar system is obtained.The application can accurately obtain the structure error value of quasi-cone scanning airborne depth laser radar, and significantly improve the measurement quality and reliability of the whole depth measurement system.

The application relates to a space target joint imaging and attitude inversion method based on a spaceborne platform, and relates to the field of inverse synthetic aperture radar imaging, in particular to a space target joint imaging and attitude inversion method based on a spaceborne platform. The application aims to solve the problems that in the existing space target imaging process of a spaceborne platform, three-dimensional high-order space-variable range migration and phase errors caused by complex relative motion between the target and the platform are difficult to realize high-precision imaging, and the existing attitude estimation algorithm needs to be completely compensated for the rectangular component segmentation and orbit error before the attitude inversion can be realized. The process is as follows: one, a narrowband tracking system of a radar obtains target slant range and a radar line-of-sight unit vector; two, a wedge-shaped transformed signal is obtained; three, spatial Doppler parameter distribution of a special point is obtained; four, an imaging result is obtained; and five, accurate estimation of target attitude parameters is completed through plane coefficient fitting.

The application discloses a time-domain point-by-point imaging method, system and device of a transceiver combined synthetic aperture sonar, and the time-domain point-by-point imaging method comprises the following steps: for any pixel in an imaging area, calculating a synthetic aperture length and a synthetic aperture time; calculating a distance between a sonar at a signal transmitting time and the pixel, and calculating a distance between a sonar at a signal receiving time and the pixel to obtain an accurate two-way slant range history; according to the two-way slant range history and relevant parameters of the signal, calculating a reference echo signal corresponding to the pixel; performing distance domain transformation on a measured echo signal and a reference echo signal, and performing conjugate multiplication processing on the transformed results; coherently accumulating all the conjugate multiplication results as an imaging result of the pixel; and repeating the above steps for other pixels in the imaging area to obtain imaging results of all the pixels in the entire imaging area.

The application discloses a BP imaging Sinc interpolation optimization method and device based on FPGA and belongs to the technical field of radar signal processing. The method realizes seamless connection of data through double-BRAM ping-pong buffering. Fixed-point and floating-point mixed operation is adopted to optimize the slant range and index calculation module and the Sinc coefficient array calculation module, wherein fixed-point is used for general calculation, floating-point is used for square root and division, resource consumption is significantly reduced, and precision is improved. Efficient interpolation calculation pipeline processing is realized through a parallel fixed-point multiplication and addition array. While guaranteeing high-precision interpolation, the application greatly reduces LUT, register and DSP resource occupation of the FPGA, and significantly improves the calculation speed and imaging quality of BP real-time imaging.

The invention relates to a quality improvement method for a high-resolution image. The method comprises the following steps: obtaining an equal-target two-way slope distance; calculating a distance error; calculating a two-dimensional frequency spectrum; calculating a truncation phase error; obtaining data of each receiving array element after micro-Doppler phase error compensation; obtaining all receiving array element data after micro-range migration error correction; obtaining data of the class receiving and transmitting combined synthetic aperture sonar; obtaining N data blocks after truncation phase error compensation; obtaining multi-receiving array element synthetic aperture sonar data; filtering to obtain filtered data; obtaining the data after the nonlinear frequency modulation processing; calculating an accurate phase; obtaining a system frequency modulation rate after second-order Taylor series approximation; calculating a coefficient of the expression of the delay time and the distance direction frequency; solving an undetermined coefficient; performing high-order phase error compensation; and a high-resolution synthetic aperture sonar image is obtained. According to the method, the reconstruction performance can be effectively improved under the conditions of larger transmission signal bandwidth and larger accumulated beam angle.

This invention discloses a method and system for de-flattening preprocessing, belonging to the field of radar imaging. The method includes: acquiring a main radar image and a secondary radar image, each containing several main image scattering points and several secondary image scattering points; calculating the secondary image scattering points corresponding to the main image scattering points to form several scattering point pairs; performing a flat-ground phase acquisition action to obtain an ideal flat-ground phase, thereby forming an ideal flat-ground phase map and completing the de-flattening preprocessing process. The flat-ground phase acquisition action includes: calculating the main image Doppler history and the secondary image Doppler history of the scattering point pairs; determining the main image focusing time that meets a preset time threshold to calculate the main image slant range, thereby determining the secondary image focusing time that meets the preset time threshold, and calculating the secondary image slant range based on the secondary image focusing time; and obtaining the ideal flat-ground phase of the scattering point pairs based on the main image slant range and the secondary image slant range. The de-flattening preprocessing method disclosed in this invention can effectively reduce the processing error of de-flattening preprocessing methods.

The invention discloses a multi-mode fusion positioning method and system for diving bell emergency communication, and relates to the field of signal localization, and the method comprises the steps: collecting underwater mixed sound signals, and carrying out the spectrum analysis of the underwater mixed sound signals, and obtaining environment background noise characteristic parameters; inputting the underwater mixed sound signal into a preset bistable stochastic resonance system model, and adjusting a barrier height parameter of the bistable stochastic resonance system model according to the environmental background noise characteristic parameter to obtain an effective signal waveform after signal-to-noise ratio enhancement; performing signal separation on the effective signal waveform to obtain a continuous sound wave carrier signal and a positioning pulse signal; doppler frequency shift analysis is carried out on the continuous sound wave carrier signal to obtain a radial speed, and time arrival difference calculation is carried out on the positioning pulse signal to obtain a slant distance; and carrying out data fusion on the radial speed and the slope distance to obtain fused data, and obtaining a motion track and a current three-dimensional coordinate of the diving bell according to the fused data.

The application discloses an InSAR atmospheric delay phase correction method along a slant range direction, comprising the following steps: S1, acquiring two SAR image subsets covering a research area and acquiring two clean water vapor data; S2, performing differential interference processing on the two SAR image subsets covering the research area to acquire differential interference phases; S3, accurately calculating atmospheric delay phases by using an atmospheric delay phase correction model; and S4, accurately obtaining real deformation of the ground along a radar line-of-sight direction. The application gives the latest weight value of the zenith path delay difference of each ground pixel on the slant range direction of the ground by correcting the sampling mode of the water vapor product along the ground distance direction, finally proposes an accurate and efficient slant range phase total delay calculation method along the ground distance, further optimizes and improves the repeat orbit synthetic aperture radar differential interferometry method, so that the measurement result is more scientific and reasonable, and therefore the application has a wide application prospect in the field of repeat orbit InSAR atmospheric phase correction.

This invention proposes a spaceborne ultra-high-resolution SAR imaging method with real-time tropospheric correction, which meets the requirements of high timeliness and high precision SAR imaging processing without being limited by the imaging area. Specifically, a corrected radiometer capable of covering the SAR observation field of view is used to simultaneously measure atmospheric temperature and water vapor pressure; the measurement data and SAR echo data are simultaneously transmitted to the ground to obtain the wet tropospheric zenith delay; using the total tropospheric delay estimation model, the total tropospheric zenith delay is obtained, and the slant range delay caused by the troposphere is further obtained; the slant range delay is used as a correction term to correct the SAR slant range model; in the ultra-high-resolution SAR imaging processing on the ground, the imaging algorithm adopts the slant range corrected by the real-time tropospheric correction, and finally obtains the ultra-high-resolution SAR image.

The application discloses a SAR polar coordinate imaging method and device based on flat flight equivalence, and the method comprises the following steps: constructing a flat flight equivalence slant range model of a large oblique SAR to obtain a baseband echo signal formed by target area scattering; performing distance direction matched filter processing on the baseband echo signal to obtain a signal after range pulse compression; sequentially performing Dechirp processing, two-dimensional resampling processing and IFFT transformation on the signal after range pulse compression to obtain a SAR polar coordinate primary imaging result; and performing geometric correction on the primary imaging result based on reverse projection to obtain an imaging result without geometric deformation and with good focusing. The SAR polar coordinate imaging method based on flat flight equivalence provided by the embodiment avoids the problem of azimuth translation invariance caused by diving through slant conversion, solves the problem that the traditional PFA is not applicable to diving SAR, and successfully extends the PFA imaging algorithm without deformation to diving SAR by correcting the geometric deformation problem caused by diving.

The invention discloses a method for imaging a space target by a space-based ISAR (inverse synthetic aperture radar), and relates to the field of inverse synthetic aperture radar imaging, in particular to the method for imaging the space target by the space-based ISAR. The invention aims to solve the problem that high-precision imaging is difficult to realize due to high-order space-variant range migration and phase error caused by complex relative motion and large-bandwidth signals between a target and a platform in a space target imaging process of a space-based ISAR (Inverse Synthetic Aperture Radar). The method comprises the following steps of: 1, acquiring a target slant distance and a radar sight observation angle according to orbit information of a satellite-borne platform, orbit information of a space target and a narrow-band tracking system of the satellite-borne platform; obtaining a radar sight line unit vector based on the radar sight line observation angle; 2, constructing a translational motion compensation item based on a target slant distance, and calculating an imaging compensation coefficient based on a radar line-of-sight unit vector; and 3, performing translational motion compensation by using the translational motion compensation item, performing rotational motion compensation by using the imaging compensation coefficient, and finally obtaining an imaging result.

The application relates to the technical field of radar imaging, in particular to an effective vehicle-mounted SAR-BP motion compensation method, which comprises the following steps: obtaining echo signals, performing pulse compression on the echo signals based on transmission signals to obtain distance domain signals of SAR; selecting a reference strong point in the distance domain signals, performing upsampling processing on the reference strong point through interpolation to obtain a distance migration curve of the reference strong point; calculating a reference envelope offset correction factor, then estimating envelope offset correction factors of each distance gate, performing envelope offset correction on the distance domain signals to obtain signals compensated for slant range error; calculating a residual phase compensation factor, performing residual phase error correction on the signals compensated for slant range error to obtain signals compensated for residual phase; and performing imaging on the signals compensated for residual phase by using a BP algorithm to obtain a SAR image. The method reduces memory occupation, shortens calculation time consumption, has stronger universality and higher precision, and improves imaging quality.

The application discloses a spiral trajectory glider synthetic aperture radar imaging method and device, and the method comprises the following steps: sequentially performing time domain and frequency domain compensation processing on echo signals through a time domain compensation function and a frequency domain compensation function to obtain two-dimensional frequency domain signals; wherein the time domain compensation function and the frequency domain compensation function are constructed according to the relationship between high-precision instantaneous slant range of any point in an imaging scene and instantaneous slant range of a reference point, and the instantaneous slant range is determined based on a spiral trajectory geometric model with rapid acceleration and speed change; and performing non-uniform fast Fourier transform on the two-dimensional frequency domain signals to obtain transformed two-dimensional frequency domain signals. The application can improve imaging precision.

The application relates to a quality control method for wind data in L-band high-altitude meteorological detection, which comprises the following steps: acquiring wind data, wherein the wind data comprises time data, height data, elevation angle data, slant range data and azimuth angle data; performing quality inspection on the height data, marking the height data as abnormal or normal; repairing the height data marked as abnormal; dividing the elevation angle data, the slant range data and the azimuth angle data into several segments according to the height, respectively determining the quality inspection standards of the segment data; performing quality inspection on the elevation angle data, the slant range data and the azimuth angle data according to the quality inspection standards, marking the elevation angle data, the slant range data and the azimuth angle data as abnormal or normal; repairing the elevation angle data, the slant range data and the azimuth angle data marked as abnormal; and outputting the quality inspection result and the repair result of the wind data.

The application discloses a side scan sonar echo simulation method, system and device fusing the influence of translational error, and the method comprises the following steps: according to the motion speed, motion time and three-dimensional space position error information of the side scan sonar deviating from ideal straight line motion, the three-dimensional space coordinates of the side scan sonar when transmitting and receiving signals are solved; the two-way slant range histories between the side scan sonar and each target in space are calculated respectively; the wideband signal transmitted by the transmitting array element is subjected to corresponding time delay processing; the Doppler phase caused by the relative motion between the side scan sonar and the target is calculated in the time domain, and the corresponding Doppler phase is added to the time-delayed signal; the echo signals of all targets are subjected to coherent accumulation in the time domain to obtain a simulation echo signal; and the simulation echo signal is demodulated in the time domain to obtain a baseband echo signal. The side scan sonar echo simulation method can simulate the echo signal of the side scan sonar when the system has translational error with high precision.

The application provides a SAR deception jamming method and device based on range-azimuth two-dimensional modulation, and relates to the technical field of radar signal processing. The method comprises the following steps: determining a SAR signal intercepted by a jammer according to a transmission signal of the SAR and an instantaneous slant range from the jammer to the SAR; determining a jamming signal according to a difference between instantaneous slant ranges between the jammer and a target, a distance offset in the range direction, a distance offset in the azimuth direction, and the SAR signal intercepted by the jammer, wherein the jamming signal comprises an active cancellation signal and a range-azimuth two-dimensional modulation phase; performing de-carrier frequency processing on a received echo signal of the SAR to obtain a de-carrier frequency echo signal, wherein the received echo signal of the SAR is a sum of the jamming signal and a target echo signal; and performing imaging processing on the de-carrier frequency echo signal by using a range-Doppler algorithm to obtain an imaging-processed echo signal, so that a diversified jamming effect can be achieved.

The invention relates to the technical field of laser radars, in particular to an omnidirectional slant visibility prediction method and device based on a laser radar. The method comprises the following steps: determining a laser emission path according to a measurement area, and respectively acquiring scattered echo signal data, slant visibility data and wind data under the same range gate on the laser emission path through a micro-pulse laser radar and a coherent Doppler wind measurement laser radar; storing and processing the acquired data; and inputting the processed data into a vector autoregression exogenous variable prediction model to obtain a predicted slope visibility value at a future moment. Meanwhile, the invention discloses a device for executing the method, and the method and the device for predicting the omnidirectional slant visibility based on the laser radar are adopted, so that the slant visibility on a laser emitting path can be predicted, and technical support is provided for follow-up.