43 results about "Range gate" patented technology

The present invention provides a radar co-frequency asynchronous interference suppression method based on slow-time interpolation, the method comprising: extracting sample data sets X of the same range gate Nr received by the radar in the slow-time dimension. Nr_i The sample data group X Nr_i The process involves filtering to identify pulse period sequence group K containing interference signals. j And the pulse period sequence number group K that does not contain interference signals s The interference signal is restored; slow-time dimension sample interpolation is performed to obtain the processed signal X'. Nr_Kj Improve the performance of the radar.

A coherent wind lidar echo signal spectrum simulation data generation method is provided, comprising: obtaining the bottom noise of the echo signal; removing the bottom noise from the echo signal spectrum data and counting the variance of the random noise; performing normalization processing on the random noise and performing Gaussian fitting to obtain the amplitude, Doppler shift and bandwidth of the echo signal; recording the Doppler shift difference between adjacent range gates to obtain the power spectrum peak energy of a single spectrum data and the correction amount of the distance; respectively counting the statistical parameters of the random variable, the power spectrum peak energy, the correction amount of the distance and the bandwidth; generating a group of wind speed profile graphs by using random walk and normal distribution characteristics of random variables, generating bandwidths under different range gates that satisfy the Lorentz distribution, power spectrum peak energies of a single simulated spectrum that satisfy the chi-square distribution, and distance correction amounts that satisfy the normal distribution; and generating a single simulated spectrum by a radar equation and repeatedly generating complete spectrum simulation data.

The invention relates to the technical field of signal processing, in particular to a detection signal noise suppression method of a laser wind finding radar. Based on spatial physical redundancy of laser radar multi-range gate observation, the technical problem that a real wind field and platform noise are difficult to separate under the frequency domain aliasing condition is solved by utilizing the physical characteristics that platform rigid body motion is a full-field common modulus and atmospheric turbulence is a spatial differential modulus. By calculating a spatial frequency standard deviation sequence, the fuzziness of pure time dimension analysis is relieved by utilizing the redundancy of spatial information. According to the technical means, a motion inversion algorithm can adaptively adjust a trajectory smoothing weight coefficient according to environmental turbulence intensity, inertial constraints are automatically reduced at a strong turbulence moment to retain high-frequency wind speed characteristics, and constraints are enhanced at a weak turbulence moment to smooth observation noise; therefore, the method achieves the accurate stripping of the common-mode motion track of the platform under a complex meteorological condition, effectively inhibits the noise of a detection signal, and improves the wind speed inversion precision.

The invention belongs to the technical field of radar height measurement, and particularly discloses an inter-pulse phase modulation radar height measurement method based on range ambiguity. The method comprises the following steps: a transmitting branch of a pulse Doppler radar altimeter transmits a pulse signal; a receiving branch of the pulse Doppler radar altimeter receives the echo signal; obtaining an echo signal after the range gate is gated, and determining a demodulation code corresponding to the range gate; and carrying out decoding identification on the echo signal of the target distance received at the distance door according to the demodulation code. According to the scheme, the technical problem of fuzzy ranging of the pulse Doppler system radar altimeter is solved.

The airborne SAR real-time self-focusing imaging method comprises the following steps: estimating Doppler center frequency based on an amplitude equalization method; iterative calculation: utilizing the estimated Doppler center frequency, introducing a migration parameter correction term delta D (eta) and a frequency modulation correction term delta Km (eta), and recalculating a distance Doppler domain signal of the current iteration round; based on the improved CSA processing chain, performing phase error compensation on each range gate by using a space-variant phase error compensation function to obtain a compensated range Doppler domain signal; carrying out distance direction and azimuth direction compression in parallel to generate a focusing image, and evaluating image quality indexes; if not, extracting strong scattering points, estimating the residual two-dimensional phase error of each range gate, fitting and updating delta D (eta) and delta Km (eta), and carrying out the next round of iterative calculation; and if so, ending iteration, and outputting the focused image of the current round. According to the method, the pixel-by-pixel suppression of motion error correction and space-variant error independent of external sensing and embedded real-time imaging processing are realized.

This application discloses a respiratory and heart rate detection method and related equipment based on UWB radar, which is used to improve the accuracy of respiratory and heart rate detection. The method includes: acquiring a raw response signal; determining a target range gate for a target object within the range gate of the initial segment of the raw response signal using a first path signal detection algorithm; extracting the raw response signal from the target range gate to the Mth range gate as a valid response signal; sequentially performing short-window moving target display processing and long-window moving target display processing on the valid response signal; detecting moving human targets based on the short-window moving target display processing result; if a moving human target is detected, pausing the respiratory and heart rate detection process; detecting static human targets based on the long-window moving target display processing result; determining the range gate of the static human target; and determining the respiratory rate and heart rate of the static human target based on the range gate of the static human target.

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.

The invention discloses a space-time quick forward-looking imaging method for a forward-looking array radar of a motion platform, which comprises the following steps of: firstly, recording forward-looking area echoes by a multi-channel radar system based on a track cutting direction, and sampling to obtain distance-pulse-channel three-dimensional echo data; performing range-direction high-resolution processing, pulse compression and range migration correction on the data; traversing each range gate, performing azimuth Fourier transform on each frame-multichannel space-time two-dimensional data, intercepting a dominant Doppler unit greater than an energy threshold in a Doppler spectrum, and performing inverse Fourier transform to a time domain, namely performing dimension reduction processing in the Doppler domain; then, rank reduction processing is carried out based on the low-rank characteristic of the covariance matrix, and the energy of the signal is reserved through principal component analysis; and finally, estimating the position and amplitude information of the target through an adaptive iteration algorithm, and carrying out projection to obtain a final two-dimensional imaging result. According to the method, while the foresight resolution is effectively improved, the calculation complexity is remarkably reduced, and the operation efficiency is greatly improved.

The application discloses a kind of based on FPGA's step frequency high-resolution short-range radar detection system and method, the system includes: transmitting receiving combination module, for generating, sending step frequency signal, and receiving its target reflection echo signal in turn into intermediate frequency echo signal;Signal processing combination module is connected with transmitting receiving combination module and receives intermediate frequency echo signal therein;Control module is connected with signal processing combination module and receives one-dimensional range image;Signal processing combination module includes FPGA operation module, and intermediate frequency echo signal is preprocessed, velocity compensation, range gate division, high-resolution imaging, same distance selects big method to remove redundancy, timing control obtains one-dimensional range image, FPGA operation module receives the control instruction issued by control module and sends it to transmitting receiving combination module.Its advantages are: the system is detected by step frequency broadband synthesis method, and the advantages of FPGA operation module parallel processing are fully utilized, and high-resolution, high-speed signal processing is realized.

This invention provides a frequency domain imaging method for spaceborne large-angle high-resolution sliding convergence SAR, achieving high-precision imaging of spaceborne large-angle high-resolution sliding convergence SAR. This invention solves the problem of nonlinear variation of the Doppler center of each target point with azimuth time by nonlinear deskewing, and solves the problem of inconsistency of azimuth spatial variables of range migration at different range gates by azimuth resampling, thus making up for the shortcomings of the prior art.

The invention discloses a method and system for accurately estimating the inclination angle of an interference baseline of a wide-swath altimeter, and the method comprises the steps: setting a search range based on a satellite rolling angle as an initial value of the inclination angle of the interference baseline, and selecting N inclination angles in the search range; sea surface height inversion is carried out on observation data of right side view and left side view of the altimeter, averaging is carried out in the azimuth direction, one-dimensional height vectors of right side view and left side view are obtained, each vector comprises height values corresponding to M range gates, then a right side view matrix and a left side view matrix are obtained, and the sizes of the right side view matrix and the left side view matrix are both N * M; differential operation is carried out in the column direction, and a right side parallax matrix and a left side parallax matrix are obtained; calculating the absolute value of the sum of the two difference matrixes to obtain an absolute value matrix; searching a minimum value of each column, and taking a corresponding inclination angle as a preliminary estimation value of each range gate; performing error correction to obtain a corrected inclination angle estimation value; and averaging all the corrected inclination angle estimated values of the range gates to obtain a final interference baseline inclination angle estimated value.

The invention discloses an underwater sound source target detection, identification and positioning method and device based on a millimeter wave radar, and belongs to the technical field of underwater target detection, identification and positioning. The method comprises the following steps: acquiring a water surface echo signal by using a millimeter wave radar, and performing Fourier transform to obtain a distance-time spectrum; extracting a slow time phase sequence of each range gate in a radar beam coverage range, and obtaining a sound-induced water surface vibration signal after unwinding and filtering; performing correlation calculation on the vibration signal and a preset target feature library, or realizing target recognition through a deep learning model; a multi-radar cooperation or single-radar digital beam forming technology is adopted for target positioning, and large-range water area searching is achieved. According to the invention, the millimeter-wave radar is used for detecting micron-sized water surface vibration with high phase sensitivity, the defects of short distance, complex arrangement and the like of traditional acoustic and optical detection are overcome, and the system has large-range, real-time and non-contact underwater target detection and positioning capability.

The application discloses a multi-range gate wind speed inversion method based on adaptive super-noise frequency offset estimation and CNN-LSBoost fusion, and belongs to the technical field of laser radar wind measurement. In view of the problems of great wind speed inversion error caused by unstable radial frequency estimation and poor noise resistance of a four-beam Doppler laser radar under low signal-to-noise ratio, the application firstly constructs a robust power spectrum resistant to gain drift through median filtering, SG smoothing and noise section logarithmic domain normalization; then an adaptive super-noise centroid frequency offset estimation method is proposed, a local centroid weighted by super-noise power in a symmetrical window is calculated, and combined with physical constraints to remove abnormalities; then a least square method is used to synthesize a horizontal wind vector and construct a two-dimensional feature matrix of gate-beam; finally, spatial embedding features are extracted through a shallow two-dimensional CNN network, and input into an LSBoost boosting tree model to complete nonlinear regression of wind speed. The application effectively improves the precision and robustness of multi-range gate wind speed inversion under extreme complex conditions.

The invention discloses a radar signal processing method, a circuit, a virtual antenna array, an antenna array and equipment. The radar signal processing method comprises the following steps: acquiring a distance Doppler spectrum of a radar signal; for a range gate, acquiring K Doppler units with targets in the range Doppler spectrum corresponding to the range gate; for a Doppler unit with a target, determining corresponding frequency spectrum estimation by adopting an iterative adaptive IAA spectrum estimation method accelerated by fast Fourier transform (FFT); and selecting one frequency spectrum meeting a set condition from the frequency spectrum estimations corresponding to the K Doppler units with the targets as an angle spectrum of the range gate, wherein the fast Fourier transform FFT is carried out based on the K Doppler units with the target, and K is an integer greater than 0. According to the scheme, the radar signal angle spectrum is determined through FFT accelerated IAA spectrum estimation, the distance angle spectrum calculation speed is remarkably increased, and the real-time requirement of radar signal processing is met.

The invention provides an anti-vibration detection method and device and a storage medium. The anti-vibration detection method comprises the following steps: acquiring sampling data of an echo signal by a radar sensor; performing fast time dimension calculation on the sampling data according to a time sequence to generate a corresponding distance spectrum, wherein the distance spectrum comprises a plurality of distance gates; selecting a range gate where an echo signal of a static object is located from the range spectrum as a reference range gate; acquiring amplitude and phase change information of the reference range gate in a slow time dimension to form a vibration waveform; at least compensating phases of other range gates based on the vibration waveform to obtain a compensated range spectrum; and carrying out slow time dimension calculation on the compensated distance spectrum, and carrying out target detection according to a calculation result. On the basis, zero-speed clutter energy caused by vibration of the base can be prevented from being leaked to a non-zero-speed area, the static clutter suppression effect of the radar sensor in a vibration environment is improved, and the accuracy of at least a detection result of a moving target is ensured.

The invention discloses a dual-mode human body target detection method and device, and relates to the technical field of target detection, and the method comprises the steps: obtaining a back projection image through an SAR, carrying out the detection of a human body target, determining a candidate position coordinate, determining the wave beam direction of a candidate human body target relative to a radar antenna through A-scan, and carrying out the detection of the human body target. The main lobe is aligned with the candidate human body target, a second linear frequency modulation continuous wave signal is emitted, and a second backscattering echo signal is received; performing frequency mixing and low-pass filtering on the received signal to obtain an intermediate frequency signal; setting a distance gate based on the candidate position coordinates; acquiring an energy sum of squares of a second back scattering echo signal in the range gate; determining a peak distance unit; extracting a slow time complex sequence corresponding to the peak value distance unit; carrying out downsampling processing and fast Fourier transform on the slow time complex sequence to generate power spectrum density; and human body target detection is carried out based on the power spectrum density to improve the human body target detection accuracy.

The system accurately calculates the distance to the subject even when visibility is poor in the direction of the moving object. [Solution] The system comprises a field of view determination unit that determines the field of view in the direction of travel of a moving object, a light emitter that emits pulsed light, a photoelectric conversion element having multiple pixels arranged, each having a first photoelectric conversion unit and a second photoelectric conversion unit that generate a first photoelectric conversion signal and a second photoelectric conversion signal having a predetermined parallax, respectively, a control unit that range gate controls the emission time, exposure time and exposure timing, and a distance measuring unit that calculates the distance to the subject based on the first photoelectric conversion signal and the second photoelectric conversion signal. The control unit switches between executing a process to calculate the distance to the subject based on the first and second photoelectric conversion signals generated without range gate control, or executing a process to calculate the distance to the subject based on the first and second photoelectric conversion signals generated by range gate control, based on the determination result of the field of view determination unit.

The application discloses a continuous wave radar hovering small unmanned aerial vehicle detection method and device, and a storage medium, and comprises the following steps: setting two groups of channels to collect echo signals of the continuous wave radar, one group being a reference channel and the other group being a receiving channel, wherein the collected data of the reference channel is an echo signal when there is no target, and the collected data of the receiving channel is an echo signal when it is needed to detect whether a target exists; and an improved Kalman filter is used to suppress ground clutter in the collected echo signal. The continuous wave radar hovering small unmanned aerial vehicle detection method and device, and the storage medium, obtain a clutter time-frequency signal and a target time-frequency signal of a detection area through short-time Fourier transform, so as to construct a three-dimensional time-frequency matrix, estimate a rotor micro-Doppler frequency of the unmanned aerial vehicle, can solve the echo spectrum range gate aliasing problem, meanwhile, the influence of noise is reduced, a method for distinguishing whether a hovering unmanned aerial vehicle exists is given, and effective detection of the hovering unmanned aerial vehicle is realized.

The invention discloses a weather radar wind turbine clutter identification method and system based on fuzzy reasoning, and belongs to the technical field of fuzzy reasoning. A monitoring area of a target weather radar is divided into a plurality of echo observation subunits according to a range gate and a scanning azimuth angle, and a reflectivity factor, a radial speed, a spectral width and a differential reflectivity of each echo observation subunit are continuously acquired in a preset data acquisition time sequence. By analyzing discrete characteristics of a reflectivity factor and a radial velocity on a time sequence, an echo stable characteristic quantity is constructed, an echo form consistent characteristic quantity is constructed based on consistency deviation of a spectral width and a differential reflectivity in a neighborhood, fuzzy mapping is performed on the echo stable characteristic quantity and the echo form consistent characteristic quantity, and the echo stable characteristic quantity and the echo form consistent characteristic quantity are calculated. The wind turbine clutter and the meteorological echo are distinguished and recognized through the fuzzy comprehensive judgment quantity, the accuracy and robustness of wind turbine clutter recognition are improved, and the method is suitable for weather radar data quality control under the complex background condition.

To provide an imaging apparatus capable of simultaneously obtaining an image with excellent dark part visibility while obtaining an image of a target distance area by range gate control.SOLUTION: A plurality of pixel units each including a color filter that transmits light of a specific wavelength, a light emitting unit that emits light a plurality of times within one frame period, a sensor unit that emits a pulse according to a light reception frequency of a photon, a counter that counts the number of pulses, and a memory that stores a value of the count; The count enable generation section generates either a first count enable signal which is asynchronous with a light emission timing of the light emitting section and has one enable period within one frame period, or a second count enable signal which is synchronous with the light emission timing of the light emitting section and has a plurality of enable periods within one frame period.SELECTED DRAWING: Figure 9

This invention discloses a mid-orbit curve SAR frequency domain imaging method based on spatially varied azimuth preprocessing. This invention relates to an imaging algorithm that, under long synthetic aperture time and slant-look observation geometry conditions, suppresses the two-dimensional spatial variation of range cell migration (RCM) through improved azimuth resampling technology, thereby achieving high-precision focusing. This invention is achieved through the following technical solution: Step 1, constructing a two-dimensional spatially varied model of the higher-order slant range history and its parameters for MEO SAR. Step 2, establishing an improved azimuth resampling model based on range gate dependence. Step 3, solving for the optimal azimuth resampling coefficients. Step 4, performing improved azimuth resampling and imaging focusing processing.

This application discloses a method, apparatus, and related equipment for target detection, which can be applied to an FMCW target detection system with at least two transmit and receive channels. The method includes: acquiring sampled data of echo signals; performing a range-dimensional fast Fourier transform on the sampled data; sequentially performing a velocity-dimensional fast Fourier transform, digital beamforming, and constant false alarm rate (CFAR) detection for any range gate; and obtaining the target information based on the CFAR detection results corresponding to each range gate. By performing velocity-dimensional fast Fourier transform, digital beamforming, and CFAR detection based on individual range gates, the detection performance can be ensured while achieving low-complexity CFAR detection operations, thereby improving target detection performance.

This application provides a method and apparatus for detecting interference signals. The method includes: receiving N frames of echo signals based on a radar-transmitted target signal, where N frames are signals returned after reflection of the target signal, and N is an integer greater than 1; obtaining N 2D-FFT plane information based on the N frames of echo signals, where each 2D-FFT plane information includes power information corresponding to range and velocity; for any one of the N 2D-FFT plane information, calculating the accumulated power information of M range gates at sampling points along the velocity dimension in that 2D-FFT plane information, where each range gate represents a range range and the M range gates are consecutive; and determining the interfered signal in the N frames of echo signals based on the accumulated power information corresponding to the M range gates. This method of characterizing interference through accumulated power information exhibits good robustness, is computationally simple, and enables low power consumption in the radar system.

The invention provides a micro-motion sensing system and method integrated on a single chip, electronic equipment, a storage medium and a program product, and relates to the technical field of data processing. According to the scheme, the millimeter wave noise radar front end, the digital signal processor and the hardware AI accelerator are integrated on one chip, so that the hardware volume, the power consumption, the delay and the cost can be reduced, and the requirements of edge equipment are met. According to the system, a broadband random modulation signal with the instantaneous bandwidth not smaller than 1GHz is transmitted by the front end of the millimeter wave noise radar, the sidelobe level of a range profile generated by the system can be remarkably lower than-40dB through simulation / experiment verification, and the industrial problem that a weak target is shielded by a strong target due to high sidelobe of the FMCW radar is fundamentally solved. On the basis, the system calibrates and preprocesses the range profile through the on-chip digital processor, so that the compatibility of the AI accelerator and the radar can be ensured, and necessary pretreatment support is provided for the on-chip hardware AI accelerator. And a plurality of range gates are divided and processed in parallel through an on-chip hardware AI accelerator, so that self-adaptive separation and feature extraction of micro-motion signals in each range gate are realized, and high-precision and high-reliability parallel sensing of a plurality of static or micro-motion targets in a complex scene is realized. The method is particularly suitable for in-vehicle multi-passenger vital sign monitoring, industrial equipment predictive maintenance, human body posture tracking and recognition, gesture recognition and medical monitoring.

This invention belongs to the field of signal and information processing technology, and relates to a fast solution implementation method based on iterative space-time adaptive processing, including the following steps: Step 1: The radar array receives echo data; Step 2: Estimate the detection range gate clutter plus noise covariance matrix based on the echo data received by the radar array; Step 3: Output the target steering vector, preprocess the covariance matrix and initialize the weight vector w. k Step 4: Set the iteration number K according to the clutter influence of the detection area; Step 5: Start iterative calculation of the weight vector and update the weight vector; Step 6: If k≤K, then k=k+1, return to step 5, otherwise proceed to step 6; Step 7: Set the final w k Perform normalization to obtain the processor weight vector w; Step 8: Perform target detection for each distance gate based on the processor weight vector.

The application discloses an anti-folding clutter processing method based on phase modulation and narrow pulse elimination. Firstly, an inter-pulse phase modulation radar echo model is established, random or pseudo-random phase coding pulses are transmitted, and far-zone folding clutters carry different phase modulation codes; then, phase compensation and phase correlation accumulation are performed on received echoes, target signals are coherently superimposed, and folding clutters cannot be accumulated due to random phases; next, MTI and MTD processing is performed on a slow time sequence, and a range Doppler spectrum is extracted; again, based on amplitude differences of adjacent pulses of the same range gate, amplitude jumps caused by folding clutters are eliminated; finally, by using a time domain expansion characteristic, narrow pulse interference is detected and eliminated through a peak-to-average ratio threshold, and a clean spectrum is output. The application organically combines phase modulation, amplitude difference elimination and narrow pulse detection, effectively suppresses range folding clutters, significantly improves a detection probability of a low-altitude, slow and small target, has low computational complexity, does not need complex hardware, and is easy to implement in engineering.

The invention discloses an image generation method and apparatus, a device, a medium and a product. The method comprises the steps of obtaining a reflection echo signal; converting the reflection echo signal from a two-dimensional time domain to a distance Doppler domain to obtain a frequency domain signal; based on the signal vectors of the plurality of different range gates of each Doppler unit, determining a sample covariance matrix, and performing characteristic decomposition on the sample covariance matrix to obtain an actual signal subspace; generating a guiding matrix based on the sample covariance matrix of the Doppler unit and pre-acquired parameters in the bistatic synthetic aperture radar system; determining an error correction matrix according to the actual signal subspace and the guiding matrix; error correction is carried out on the signal vectors of different sub-channels received by each Doppler unit based on the error correction matrix corresponding to each Doppler unit to obtain a corrected signal vector, and signal reconstruction and imaging processing are carried out based on the corrected signal vector to generate an image, so that the quality of the image can be improved.

The invention discloses a wind profile radar spectral moment estimation method based on a GAT-Transform hybrid model, and belongs to the technical field of wind profile radar signal processing. The method comprises the following steps: S1, carrying out preprocessing operation on all power spectrums in a distance Doppler spectrum generated by radar echoes; s2, constructing a heterogeneous graph for the preprocessed distance Doppler spectrum; s3, extracting depth features of the heterogeneous graph by using GAT, and introducing an intra-layer aggregation module to integrate the features of each range gate and merge the features into a depth feature matrix; s4, performing height position coding on the extracted depth feature matrix, and performing training by using a Transform model; and S5, carrying out parallel training on the distance Doppler spectrums of the relative beams, introducing wind vector synthesis in the training process, and outputting a final estimated complete wind profile. According to the invention, high prediction precision and strong generalization ability of a wind profile radar spectral moment estimation algorithm in a complex atmospheric environment can be realized.

This invention discloses a target ranging method and system for FMCW radar based on denoising YOLO, comprising: setting the basic physical parameters and fixed signal processing parameters of the FMCW radar, and determining the fixed dimension of all processed data as range gate × velocity gate through parameter configuration; generating standardized training samples by modeling transmitted / received signals and performing two-dimensional spectrum processing; dividing the training samples into datasets and constructing labels, optimizing them based on the YOLO framework, completing model training, and obtaining a denoising YOLO model; collecting raw ADC data of target echoes in actual scenarios, and standardizing the measured data based on unified radar parameters; inputting the generated standardized test samples into the denoising YOLO model to calculate the target distance and velocity. This invention achieves accurate determination of the measured target distance in clutter backgrounds, avoids the phenomenon of point targets scattering into area targets, and significantly improves radar ranging accuracy.

The application discloses a method for suppressing airborne radar foldover clutter based on range gating and subspace projection, and relates to the technical field of airborne radar signal processing.The method uses an inter-pulse agile waveform with a range gating characteristic, performs subspace projection on the echo in the range dimension after the echo in the range dimension is gated, obtains a range section clutter reconstruction result, and iterates between range sections to eliminate mutual influence between clutters in the range sections, so that the clutters in the range sections are reconstructed, the clutters in non-range sections are cancelled from the received echo to suppress the foldover clutter, and target detection is performed, thereby effectively improving the detection capability of the airborne radar for a long-distance low-speed weak target.The method has many advantages, such as simple implementation, low calculation complexity, good foldover clutter suppression effect, and the like.