123 results about "Range gate" patented technology

The invention discloses a range gating anti-disturbance optical frequency domain reflection distributed measurement device and method. The device comprises a sweep frequency laser light source, a first optical coupler, a Mach-Zehnder modulator, a circulator, a detection optical fiber, a polarization controller, a second optical coupler, a balanced photoelectric detector and a data measurement unit. Wherein the Mach-Zehnder modulator is configured to perform BPSK modulation on the input probe light by using a pseudo-random spread spectrum coding technology. By means of the device and the method, the contradiction that long-distance measurement and fast frequency sweeping are difficult to achieve at the same time in a traditional OFDR is successfully solved.

The invention relates to the technical field of aviation safety, and provides a laser radar trailing vortex inversion method, system and device, a product and a medium. The method comprises the following steps: acquiring meteorological parameters, model parameters and ADS-B data, and calculating trailing vortex circular rector; constructing an axial scanning coordinate system; constructing a first radial speed algorithm; background wind speed is calculated through a first radial speed algorithm; constructing a second radial speed algorithm through the background wind speed and the first radial speed algorithm; determining a range gate, obtaining a corresponding detection point coordinate pair, and traversing gradient absolute values of the detection point coordinate pair in the detection point set to obtain a relative vortex core position; and obtaining a first real vortex core position, a second real vortex core position and a distance between the two positions in an area where the relative vortex core position is located, and iterating to the distance convergence between the two positions to determine a real vortex core position. According to the method, interference of background wind is effectively eliminated, and airplane wake flow axial scanning based on the laser radar is realized by calculating the real vortex core position.

The invention relates to the technical field of laser radar meteorological detection, in particular to a wind field feature detection method and device based on a laser radar, and the method comprises the following steps: S1, controlling the laser radar to execute dynamic hierarchical scanning, and generating three-dimensional laser scanning data; s2, carrying out aerosol backscattering signal preprocessing on the three-dimensional laser scanning data; s3, extracting an aerosol motion vector of each range gate, and decomposing the aerosol motion vector into a horizontal wind field component and a vertical wind field component; s4, performing spatial gradient calculation to generate a spatial gradient distribution map; s5, respectively calculating a horizontal energy spectrum and a vertical energy spectrum; and S6, outputting wind field characteristic parameters. According to the invention, through fusion of the dynamic features of the laser radar point cloud, the wind shear space gradient and the energy spectrum analysis method, precise extraction of the turbulence intensity, the main energy scale and the three-dimensional vortex features is realized, and the accuracy and the spatial resolution of wind field structure identification are improved.

The invention provides a long-distance single-photon laser radar signal extraction method. The method comprises the steps of single laser radar original measurement data stream input, range gate denoising, double-phase histogram target coarse detection, secondary subdivision histogram target fine detection and detection result output. The method provided by the invention is high in reliability, simple in process, small in calculation power and high in algorithm precision, can realize sub-meter detection precision under a hundred kilometer distance, is suitable for an embedded real-time processing system, solves the problem that a target signal is interfered by noise when a space long-distance single-photon laser radar signal is extracted, and improves the detection precision. And the problems of low target detection rate and poor measurement precision are solved.

The invention relates to a high squint SAR imaging processing method under Doppler frequency distance time varying. The method comprises the following steps: firstly, carrying out linear walking correction and distance compression according to a squint angle; then distance partitioning and azimuth upsampling are carried out according to the pulse repetition frequency, the instantaneous Doppler bandwidth and the Doppler frequency time-varying quantity along with the distance, azimuth spectrum ambiguity caused by the change of the Doppler center frequency along with the slope distance is eliminated through azimuth spectrum extension, and sub-block splicing is carried out after upsampling of all sub-blocks is completed; carrying out azimuth space-variant resampling in a two-dimensional frequency domain, and eliminating azimuth space-variant in a range gate; then consistent compression and stot interpolation are carried out, and two-dimensional accurate focusing is completed; and finally, correcting image distance position time shift caused by linear walking correction, and intercepting an effective imaging area to obtain a focused SAR image. According to the method, the Doppler spectrum fuzzy problem caused by Doppler frequency distance time variation can be effectively eliminated, so that effective application of a traditional large squint algorithm is ensured, and a correctly focused SAR image is obtained.

The invention relates to the technical field of wind lidar measurement, and discloses a wind lidar data quality control method comprising the following steps: collecting wind lidar echo signals in a period of time, the wind lidar echo signals comprising atmospheric reflection signals and noise signals; carrying out average power spectrum estimation processing on the original echo signal; gaussian filtering processing is carried out on the average power spectrum so as to suppress obvious and burst noise and interference signals, and a calculation result is used for replacing an original power spectrum numerical value; the filtered power spectrum is obtained, a least square method mathematical optimization method is adopted, model parameters of optimal fitting given power spectrum data points are searched, a prediction model adopts a low-order polynomial, and whole range gate sequence data are selected for prediction fitting. Through power spectrum estimation and noise frequency domain statistical characteristic analysis, the signal and the noise can be distinguished more accurately, so that the influence of the noise on a measurement result is effectively reduced.

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.

The invention discloses a raindrop spectrum correction method, device and equipment and a storage medium, and relates to the technical field of raindrop measurement, and the method comprises the steps: carrying out the calculation of a scattering echo signal of a laser radar, so as to obtain laser radar power spectrums corresponding to different range gates in the laser radar; judging whether the laser radar power spectrum has a double-peak structure or not, and determining whether the laser radar power spectrum is a target radar power spectrum or not according to a corresponding judgment result; respectively extracting a corresponding target raindrop spectrum from each determined target radar power spectrum; constructing a model training set based on the first feature information of the target raindrop spectrum and a corresponding raindrop particle size label; and training a raindrop spectrum correction model by using the model training set, and correcting the raindrop spectrum to be corrected by using the trained model. According to the method, the training set is constructed by using the raindrop spectrums corresponding to the plurality of distance gates, and the raindrop spectrum correction model is trained by using the training set by taking the raindrop particle size as a label, so that the accuracy of outputting the raindrop particle size by the model is improved.

The invention discloses an SAR sea peak suppression imaging method and system based on STFT, and belongs to the technical field of synthetic aperture radar signal processing. The method comprises the following steps: performing range pulse compression on received original SAR echo data; taking data of one range gate in the range pulse compression result, and performing short-time Fourier transform along the azimuth direction; calculating the correlation between the short-time Fourier spectrum energy statistical distribution with the sea peak interference and the short-time Fourier spectrum energy statistical distribution without the sea peak interference, and obtaining a threshold value for suppressing a sea peak echo signal; suppressing the time-frequency point of which the short-time Fourier spectrum energy is greater than the sea peak echo signal suppression threshold value, and obtaining effective time-frequency domain data; and carrying out inverse short-time Fourier transform on the effective time-frequency domain data to obtain reconstructed SAR echo data and realize SAR sea peak suppression imaging. According to the method, HH and VV dual-polarization data does not need to be acquired at the same time, single-polarization data can be processed, the calculated amount is simplified, and SAR sea peak echo signals can be effectively suppressed.

The invention relates to a millimeter wave radar adaptive transmitting power optimization method for vital sign monitoring. The method comprises the following steps: adopting an FMCW-MIMO radar to carry out human body vital sign monitoring; processing the received echo signal reflected by each frame of human body corresponding to each frame of transmitting signal to obtain a discrete echo signal; preprocessing the discrete echo signal, and estimating a target distance, a speed and an angle of arrival by adopting CFAR (Constant False Alarm Rate) detection; according to the target arrival angle, receiving end beam forming is carried out on the received signal; phase extraction is carried out according to a range gate where the target distance is located, and after band-pass filtering is carried out on the extracted phase, vital sign signals including respiration and heart rate are extracted; and estimating signal power in an arrival angle region according to the arrival angle of the previous frame of data, and performing adaptive adjustment on the transmitting power of the next frame of radar, so that the power of the echo signal reflected by the human body corresponding to the frame meets the power requirement of CFAR detection. According to the invention, low-radiation and high-precision human body vital sign monitoring is realized.

This application discloses a method for combating multi-main-lobe intermittent sampling interference through multi-radar signal coordination, relating to the field of signal processing technology. It includes: expanding the summation or integration process of the matched filtering results of the signals received by M receiving nodes of a radar system along its expanded dimensions, and performing interference suppression processing along the expanded dimensions to obtain the filter output; sampling the filter output after range gate alignment, and converting it into a fast and slow time-dimensional matrix with A sampling points; performing Q-point coherent accumulation within each of the M receiving nodes' received signals, and combining this with the fast and slow time-dimensional matrix to obtain an R-D diagram of the M receiving nodes; performing P-point coherent accumulation between the receiving nodes on the R-D diagram of the M receiving nodes to obtain a two-dimensional matrix, and taking the x and y coordinates corresponding to the maximum value of the two-dimensional matrix as the target's range and velocity. This method addresses how to effectively suppress multiple intermittent sampling interferences in the absence of prior interference information.

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.

The present invention discloses a method for designing discrete constant modulus quadrature phase coding for multiple targets. The method comprises the following steps: S1: determining the number of waveform signals M and the number of code elements N of each waveform of a multi-input multi-output radar, and randomly generating training samples of a size of M×N; S2: calculating the distance of a range gate and the waveform correlation function, and setting a loss function based on the distance and correlation function; S3: inputting the training samples into an established phase coding network for training, performing modulo-1 and discretization processing on the network output to obtain discrete constant modulus phase coding; S4: calculating the coding loss value based on the loss function, and updating the network parameters based on the loss value; S5: proceeding to S6 upon completion of training, otherwise returning to S3; S6: obtaining a trained network, inputting the data to be coded into the trained network, and obtaining a discrete constant modulus quadrature phase coded signal. This method enables the multi-input multi-output radar to operate normally in multi-target scenarios, and the output is a discrete code, which is more suitable for practical applications.

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 present invention provides a method for suppressing folded clutter based on range gating and alternating inversion. The method estimates the range distribution interval of clutter echoes from an airborne radar based on the airborne radar scene; determines the spatial-Doppler distribution area of the clutter echoes according to the airborne radar platform parameters and the range distribution interval; determines the maximum number of range segments N for the clutter echo distribution according to the airborne radar parameters, with both the number of each range segment and its clutter echo being n; reconstructs the clutter echoes of the nth range segment using a clutter echo reconstruction submodule; and processes the reconstructed result of the clutter echoes of the range segments other than the nth range segment using a receive filter bank for the nth range segment to obtain the clutter of the nth range segment. The above steps are repeated until iterative convergence is achieved. For each range segment, folded clutter is suppressed by subtracting the reconstructed clutter outside the range segment from the total echo. The method has the advantages of low computational complexity, low complexity, and good robustness.

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 discloses an SAR intermittent sampling forwarding interference detection and suppression method based on prominent edge perception, a storage medium and electronic equipment. The method comprises the following steps: accurately detecting an interference-containing pulse sequence through a variance sequence obtained through time-frequency analysis by adopting a prominent edge perception algorithm; all interference-containing pulses are superposed in the azimuth direction to increase the difference between an interference signal component and a target signal component, and the obtained result is used for accurately positioning the ISRJ component in the echo by adopting the prominent edge perception algorithm again. And according to the time mapping relationship between the signal time domain and the time-frequency domain, obtaining the time interval, namely a distance gate, of each interference slice in the time-frequency domain, so as to design a time-frequency domain filter to suppress interference. According to the method, high interference detection and positioning precision can be achieved for typical two-dimensional intermittent sampling forwarding interference forwarding types such as two-dimensional intermittent sampling direct forwarding interference, two-dimensional intermittent sampling repeated forwarding interference and two-dimensional intermittent sampling cyclic forwarding interference, and the suppression method can achieve a good suppression effect; and useful signals can be better protected.

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 present invention relates to the field of aviation safety technologies, and provides a method, a system, a device, a product and a medium for lidar wake vortex inversion. The method includes: obtaining meteorological parameters, aircraft type parameters and ADS-B data, and calculating the wake vortex circulation; constructing an axial scanning coordinate system; constructing a first radial velocity algorithm; calculating the background wind velocity through the first radial velocity algorithm; constructing a second radial velocity algorithm through the background wind velocity and the first radial velocity algorithm; determining range gates and obtaining corresponding probe point coordinate pairs, and traversing the absolute values of the gradients of the probe point coordinate pairs in the set of probe points to obtain the relative vortex core position; obtaining a first true vortex core position and a second true vortex core position and the distance therebetween in the region where the relative vortex core position is located, and iterating until the distance therebetween converges to determine the true vortex core position. The present invention effectively eliminates the interference of the background wind, and realizes the axial scanning of the aircraft wake based on lidar by calculating the true vortex core position.

The invention provides a triple constant false alarm target detection and multi-frame association tracking vital sign monitoring method. The method comprises the following steps: 1, carrying out differential and normalized preprocessing on an original chirp signal (Chirp signal); 2, carrying out range gate triple CFAR detection on the preprocessed signal, carrying out multi-frame association, and extracting a target range gate; 3, performing phase extraction on the target range gate; 4, filtering and Fourier transform are carried out on the phase, and heartbeat signal spectrum energy and respiration signal spectrum energy contained in the phase are separated; 5, performing multi-frame association tracking on the heartbeat and respiration signals; and 6, outputting the frequency data of the tracked heartbeat and respiration signals. When the CFAR is used for target detection, the cooperative effect of the global threshold, the local threshold and the fixed threshold is used, and noise and interference can be effectively restrained. Meanwhile, multi-frame correlation tracking of vital signs adapts to continuity of physiological signals, and stability and accuracy of monitoring are guaranteed.

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.

The present invention provides a clutter suppression method based on a dual-base end-fire array airborne radar. The method constructs raw clutter echo data for all range gates, extracts unambiguous clutter data at small elevation angles to construct an unambiguous clutter covariance matrix, and then calculates a transformation matrix to transform the raw clutter echo data. Maximum likelihood estimation is performed on the transformed clutter data to obtain a filter weight vector, and clutter suppression is performed on the raw clutter echo data. The method utilizes the difference between the clutter scattering point and the incident cone angle of the transceiver platform to select an appropriate elevation angle to construct a far-field stationary unambiguous clutter covariance matrix as a reference covariance matrix for RBC compensation, thereby ensuring the stationarity of the reference clutter. Subaperture smoothing is also used to expand samples to estimate the covariance matrix, ensuring that the number of samples meets the required sample number. Furthermore, the method eliminates the non-stationarity of the clutter, thereby enabling effective clutter suppression using a space-time adaptive algorithm.

This invention discloses a method for testing the amplitude and phase characteristics of plane waves in a compact field quiet zone based on scattering measurements. It primarily addresses the shortcomings of existing methods, such as the difficulty in testing the amplitude and phase characteristics of plane waves in a compact field quiet zone and the challenge in eliminating environmental clutter interference. The implementation scheme is as follows: Spatial coordinate calibration of the area to be tested determines the coordinates of sampling points. A standard scatterer is placed at each point, and its single-station scattering data is measured. The standard scatterer is moved to the next sampling point, and this measurement process is repeated until scattering data from the standard scatterer at all sampling points are obtained. Environmental clutter in the data is filtered out using a range gate filter. The radiation pattern of the compact field feed antenna is measured, and a target scattering field compensation matrix is ​​constructed. This matrix is ​​used to compensate for the scattering of the filtered results. The amplitude and phase characteristics of the plane wave in the compact field quiet zone are calculated based on the compensation results, and the range of the compact field quiet zone is determined using these characteristics. This invention can achieve relatively simple measurement of the amplitude and phase characteristics of a compact field quiet zone and can be applied to the performance testing and analysis of compact field quiet zones.

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 an unmanned aerial vehicle-mounted through-the-wall radar indoor moving target detection method. The method comprises the step of providing a moving target detection method based on a Doppler frequency profile and range gating filtering. And the imaging result of the moving target is defocused and is easily submerged in strong static clutters, so that the detection rate of the moving target is reduced. In order to solve the problem, the Doppler frequency modulation rate characteristics of the static clutter and the moving target are analyzed. Then, the range migration of the target echo is corrected in the range Doppler domain through sinc interpolation; thirdly, estimating the Doppler frequency modulation rate of each range gate of the echo by applying fractional Fourier transform, comparing the estimated value of the frequency modulation rate with the theoretical value of the frequency modulation rate of the stationary target, and designing a range gating filter to suppress clutters generated by the wall body and the stationary object based on the difference of the Doppler frequency modulation rates; and finally, constructing an azimuth compression filter to realize focusing imaging of the moving target. Simulation and actual measurement experiments verify feasibility and effectiveness of the method.

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 invention belongs to an underwater acoustic detection technology, and particularly relates to a sonar monopulse three-dimensional imaging method based on array elements, a storage medium and electronic equipment. The method comprises the steps that a receiving and transmitting array element system is constructed, a first array element transmits and receives signals, other array elements only receive signals, a rectangular coordinate system is established with the first array element as an original point, and the other array elements are located on a coordinate axis; transmitting signals are reflected by a single detection target and then received by the pth array element to obtain single echo signals, and frequency domain sampling signals of the single echo signals are obtained through orthogonal frequency mixing, pulse compression and Fourier transform processing; the frequency domain sampling signal of the pth array element is the sum of the frequency sampling signals of the echo signals at the M range gates; and calculating the distance from the detection target to the array element according to the frequency domain sampling signal, obtaining the included angles between the detection target and x, y and z according to the geometrical relationship, and determining the three-dimensional imaging result of the detection target. Three-dimensional imaging can be carried out through a single pulse, the manufacturing cost is reduced, and the requirement for the movement precision of the sensor is low.

The present invention discloses a radar measurement data processing method and device, wherein the method includes: obtaining a radar speed range Doppler map and moving target point cloud data of a measurement area at the current moment; comparing a plurality of signal power values corresponding to a plurality of range gates in parallel, and obtaining a moving target information area set of the measurement area at the current moment according to the comparison result; clustering the moving target point cloud data to obtain first moving target motion information of the measurement area at the current moment; filtering the first moving target motion information according to the moving target information area set at the current moment to obtain second moving target motion information. The present invention obtains a moving target information area set of the measurement area at the current moment through the comparison result, and obtains the first moving target motion information using a clustering method. The first moving target motion information is filtered according to the moving target information area set at the current moment, thereby obtaining more effective second moving target motion information, thereby reducing the false alarm rate of radar target detection in complex environments.

The present application proposes a method, system and computer device for identifying the vital signs of multiple human targets, the method comprising: using an ultra-wideband radar to detect the area to be detected to obtain a radar echo matrix corresponding to the area, and filtering out static clutter in the radar echo matrix; calculating the permutation entropy value of the slow time series corresponding to each range gate in the radar echo matrix; determining the initial range gate area where the human target is located according to each permutation entropy value; determining the number of human targets and the position of each human target according to the initial range gate area where the human target is located; according to the position of each human target, extracting the body surface vibration signal of each human target from the radar echo matrix from which static clutter is filtered out and identifying each human target respectively. The technical solution provided by the present invention uses the KMeans++ clustering algorithm and the HOC algorithm to identify the vital signs of multiple human targets, thereby improving the efficiency, accuracy and intelligence of identification, thereby providing a guarantee for timely and effective rescue.