71 results about "Envelope (radar)" patented technology

The invention relates to a robot path planning method based on multi-sensor fusion and free space topology composition, and belongs to the technical field of robot autonomous navigation. The method comprises the following steps: firstly, fusing laser radar and millimeter wave radar data, constructing multi-modal point cloud data, extracting a three-dimensional obstacle boundary by combining depth and normal vector mutation features, and generating a three-dimensional obstacle map and a free region tree; according to the constructed space model, factors such as energy consumption, dynamic obstacles, path smoothness and the like are integrated, target selection weights are dynamically regulated and controlled, and self-adaptive screening of intermediate navigation targets is achieved. And based on the intermediate navigation target, generating a safe trajectory satisfying dynamic constraints by adopting geometric-dynamic dual-mode fusion modeling, and enhancing the feasibility and robustness of the trajectory through trajectory envelope optimization and pre-execution fault-tolerant control. The method can be widely applied to autonomous navigation systems such as mobile robots and unmanned vehicles, and has good environment adaptability and path execution stability.

The invention discloses an unmanned aerial vehicle channel inspection path optimization method based on dynamic environment perception, and relates to the technical field of unmanned aerial vehicle intelligent path planning. Comprising the following steps: establishing a three-dimensional environment model based on channel geographic information data and surveying and mapping point cloud data, and generating an initial routing inspection path set with a coverage range meeting requirements; predicting and generating an obstacle envelope sequence changing along with time by using a dynamic obstacle trajectory collected by an airborne radar and a camera, performing space-time superposition calculation on the obstacle envelope sequence and the initial inspection path, and removing path fragments conflicting with a future obstacle movement range to obtain an inspection path set after obstacle avoidance correction; and according to elevation information in the three-dimensional environment model, predicting a local area and a spatial range in which communication shielding may occur in the inspection path of the unmanned aerial vehicle, carrying out secondary correction on a path segment which is about to enter a communication shielding area, and outputting a corresponding flight height and speed sequence.

The invention relates to the technical field of radars, in particular to a weather radar distance resolution calibration method and system. The method comprises the following steps: collecting oversampling original baseband I / Q data of a point target in a plurality of continuous pulse periods; determining a pulse signal-to-noise ratio, and screening out effective pulses according to a threshold value; carrying out sub-sampling stage time alignment on the effective pulses based on cross-correlation analysis, and carrying out incoherent averaging on power module values of all the aligned pulses to generate an average pulse power envelope; converting the average pulse power envelope to a logarithm domain, and selecting discrete data points in a main lobe region; according to the discrete data points, a nonlinear least square method is adopted to carry out iterative fitting on the generalized Gaussian mathematical model, and a continuous analytic function describing the pulse envelope is obtained; according to the continuous analytic function, determining a pulse time width when the power is reduced to a peak value of-6dB; and determining the real distance resolution according to the pulse time width. The measurement robustness is improved, and sub-meter calibration precision is achieved.

The invention relates to the technical field of electromagnetic wave detection and imaging, and discloses a radar target echo generation method based on a physical information neural radiation field, which effectively improves the physical consistency of generated echo signals, accurately simulates the energy attenuation characteristics at different observation angles, and improves the radar target echo generation efficiency. The problem of signal completion under the sparse view angle condition is solved. The signal generated by the method is highly matched with measured data in the aspects of amplitude distribution, phase continuity and energy envelope form, a reliable data basis is provided for radar target identification and feature analysis, and the perception capability of a network on target geometric details is enhanced through high-dimensional position coding. Therefore, the generated echo signal can accurately reflect the spatial distribution characteristics of the scattering center. Meanwhile, due to the introduction of the multi-frequency coding sequence, the network can adaptively capture electromagnetic scattering characteristics under different scales, and a reliable technical means is provided for echo generation of a complex target.

The invention provides a translation compensation method for an inverse synthetic aperture radar image of a non-cooperative target, and relates to the technical field of radar signal processing and radar imaging, and the method comprises the steps: carrying out the calculation of a target motion and a radar echo signal based on the inverse synthetic aperture radar image of the non-cooperative target, and obtaining a receiving signal; filtering the received signal to obtain a high-resolution range profile sequence; obtaining a motion offset prediction model by using a spatial feature extraction module and a time sequence decoding module; processing the high-resolution range profile sequence by using the trained motion offset prediction model to obtain a translation offset estimation sequence; and constructing a translation compensation item by using the translation offset estimation sequence, performing translation compensation on the compressed echo to obtain a translation compensation result, and completing envelope and phase joint compensation and inverse synthetic aperture radar imaging. According to the method, the problem of translational motion compensation caused by uncertainty and complexity of a non-cooperative target motion mode is solved.

The invention discloses a ground-based radar space object long-time energy accumulation method based on an orbital element model, and the method comprises the following implementation steps: 1, building an orbital element parameter space, and mapping the grid points of the parameter space into the distance between a target and a radar; and step 2, calculating an envelope position and a phase which need to be compensated according to the mapped distance history at each parameter space grid point. And step 3, compensating a corresponding phase for the echo signal after pulse compression along the calculated envelope position, and then performing coherent superposition, thereby realizing long-time coherent accumulation of echo energy. According to the method, the orbital elements are adopted to construct the parameter space, energy accumulation is carried out in the parameter domain, due to the fact that the orbital elements can better represent the actual motion of a space object, the energy accumulation effect can be improved, meanwhile, the orbital elements are small in parameter space dimension, and the algorithm calculation amount can be greatly reduced.

The application provides a PMEPR optimization method of a large-bandwidth OFDM radar communication integrated waveform, and the method is based on a reserved subcarrier method, an l p norm is introduced to remodel PMEPR under a high reservation rate as a target function that can be used for gradient analysis, the PRP conjugate gradient descent method is used to efficiently and quickly solve the target function, and the radar communication integrated waveform with good PMEPR reduction performance is obtained. The application has an important role in the actual application of the radar communication integrated waveform.

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.

Embodiments of the present specification provide a cooperative target ISAR envelope alignment method and system, the method comprising obtaining a baseband echo of a target to be measured by a radar, compressing the echo to obtain a one-dimensional range image; using prior information of the cooperative target to perform coarse envelope alignment on the obtained one-dimensional range image to obtain a one-dimensional range image sequence after coarse envelope alignment; selecting an arbitrary one-dimensional range image after coarse alignment, determining the envelope shift amount of the previous one-dimensional range image, and determining the reference shift amount; performing a shift in the vicinity of the reference shift amount by a search method, performing cross-correlation calculation with the previous one-dimensional range image, and calculating a correlation coefficient; based on the setting of the shift range, performing traversal of the one-dimensional range image shift until the end of the traversal, determining the shift amount corresponding to the maximum correlation coefficient as the shift amount of the one-dimensional range image, and realizing envelope alignment of the one-dimensional range image. The problem of large amount of calculation and easy jumping of the alignment result in the prior art is solved.

The application belongs to the technical field of radar signal processing, and specifically discloses a method for detecting airspeed targets based on long-time accumulation, which comprises the following steps: firstly, segmenting the echo signals after pulse compression according to the number of pulses, and compensating the distance migration and Doppler spread of the envelope of the echo signals in each segment; secondly, performing in-segment coherent accumulation on the compensated results in each segment; and finally, performing envelope migration and non-coherent accumulation between segments on all the echo signals, so that the energy of the echo signals can be effectively accumulated. The long-time accumulation method of time segmentation, in-segment coherent accumulation and inter-segment non-coherent accumulation can solve the problems of long-time coherent accumulation calculation and echo signal coherent deterioration, improve the detection performance, and is easy to implement in engineering.

The invention relates to an expandable rotating paraboloid double-reflector system SAR (Synthetic Aperture Radar) antenna, belongs to the technical field of spacecraft antennas, and solves the technical problems that the expandable rotating paraboloid double-reflector system SAR antenna is large in folding envelope and low in profile precision. The SAR antenna comprises a reflector and a phased array feed source device, the reflector comprises a main reflector body, an auxiliary reflector body and a conical force bearing barrel, the main reflector body is of a rotating paraboloid structure after being unfolded, the auxiliary reflector body is located on the inner side of the rotating paraboloid structure and connected with the main reflector body through the conical force bearing barrel, and the conical force bearing barrel is connected with the main reflector body. The phased array feed source device is arranged in the conical force bearing barrel, the phased array feed source device comprises a horn radiation unit, a T / R assembly and a heat conduction table, the cross section of the heat conduction table is of an axial symmetry structure shaped like a Chinese character'ji ', and the phased array feed source device is fixedly connected with an upper cabin plate of a load cabin of a satellite through the bottom face of a heat conduction table unit. The SAR antenna is high in precision, small in size, good in heat dissipation effect and high in stability.

The application discloses a kind of active layer depth identification method based on envelope fusion algorithm, belong to season frozen depth survey technical field, the present application is through field reconnaissance and ground temperature data optimization survey line arrangement and radar frequency, and with ground penetrating radar data acquisition;Data are removed, gain compensation, band-pass filtering and time-depth conversion preprocessing;Then using barycentric method and edge detection method extract bottom interface track, and according to signal definition and continuity adaptive weighted fusion, effectively suppress noise and abnormal value;Finally, with the depth of 0 ℃ isotheral line as benchmark, cross validation and error correction are carried out, and the interface fusion curve of continuous, smooth and centimeter-level precision is output, to calculate the depth of active layer.The method breaks through the traditional interpretation precision limit while maintaining the high-efficiency and non-destructive advantage of GPR, and provides a practical technical solution for the design parameter selection in permafrost engineering investigation.

This invention provides a multi-scale fusion-based method for target recognition and localization using lidar point clouds, belonging to the field of lidar data processing technology. This method employs a cascaded architecture of "macro-meta-micro." At the macro level, topological dimensionality reduction is performed, including constructing a dynamic secure envelope, rapidly stripping massive background point clouds using the surround number method, and clustering foreground targets by introducing radial compensation coefficients. At the meso level, probability peak finding is performed, including transforming the point cloud to a spherical coordinate system, constructing a probability density function of radial distance, and finding the peak to accurately pinpoint the target depth layer. At the micro level, complex plane optimization is performed, including constructing a multi-index joint optimization loss function mapped to the complex plane to achieve high-fidelity extraction and verification of target geometric features. This invention significantly reduces computational overhead and improves the accuracy and robustness of target recognition and localization in long-range and noisy environments.

This invention relates to the field of elevator technology, and more particularly to an anomaly detection method for elevator polyurethane buffers based on millimeter-wave radar. The method includes: acquiring echo signals within a preset time window after the polyurethane buffer's compression and rebound by millimeter-wave radar; determining the target distance unit and generating a vibration displacement signal in the radar's line-of-sight direction; identifying intervals where the overall vibration envelope shows a decaying trend and extracting the damping response signal; implementing bistable stochastic resonance enhancement and variational mode decomposition to identify the target modal signal; calculating damping characteristic indices using the target envelope amplitude and stiffness characteristic indices using the target phase to construct a health feature vector; and determining whether the obtained health feature vector lies within the constructed health reference space. Using non-contact millimeter-wave radar to acquire echo signals during the polyurethane buffer's rebound process allows for precise capture of phase changes caused by minute movements or vibrations of the target, resulting in high detection efficiency and safety.

The application discloses a multi-source sensing-based anti-collision early warning system for power distribution network construction machinery, and relates to the technical field of image analysis, which comprises the following steps: obtaining laser radar point cloud data and camera image data, obtaining laser radar distance and visual distance respectively, and performing consistency determination; when there is inconsistency, determining the reference sensor and the sensor to be adjusted by analyzing the visual recognition influence value and the radar response influence value, performing dynamic parameter adjustment on the sensor to be adjusted, obtaining the target distance based on the re-measured distance value and the reference measured distance fusion, thereby constructing a dynamic envelope volume, calculating the net safety distance, and outputting an anti-collision early warning signal, which effectively solves the problem that multi-source sensing data deviates and is inconsistent under complex environmental interference in the prior art, resulting in a decrease in distance detection reliability and affecting anti-collision early warning precision.

The application discloses a multi-radar power envelope fusion method, comprising: single-radar envelope modeling, constructing envelope fusion foundation; determining non-coherent field fusion, constructing multi-radar envelope model; constructing gradient diffusion model, realizing envelope fusion smooth transition; displaying Euler method iteration convergence, realizing multi-radar envelope complete fusion; adopting adaptive octree structure to dynamically divide three-dimensional space. Advantageous effects: the multi-radar power envelope fusion method firstly calculates single-station detection probability of each radar unit at a grid point in a three-dimensional space voxel according to a radar equation, a propagation loss model and target scattering characteristics; then adopts a probability union or a more complex dependent relationship model to generate a full-space joint detection probability field; finally, an isosurface extraction (such as an improved Marching Cubes algorithm) and a probability gradient driven color / transparency mapping are adopted to generate a visual continuous, mathematically accurate fusion envelope surface.

The present application relates to the field of radar technology, especially to a weather radar range resolution calibration method and system. The method comprises the following steps: collecting oversampling original baseband I / Q data of a point target in multiple pulse periods; determining pulse signal-to-noise ratio, and screening effective pulses according to a threshold value; performing time alignment of the effective pulses in a sub-sampling stage based on cross-correlation analysis, performing non-coherent average of power modulus of all the aligned pulses, and generating an average pulse power envelope; converting the average pulse power envelope to a logarithmic domain, and selecting discrete data points located in a main lobe region; using a nonlinear least squares method to iteratively fit a generalized super-Gaussian mathematical model according to the discrete data points, and obtaining a continuous analytical function describing the pulse envelope; determining a pulse time width at which the power drops to a peak value-6dB according to the continuous analytical function; and determining a real range resolution according to the pulse time width. The measurement robustness is improved, and the calibration accuracy is sub-meter.

The embodiment of the invention discloses a ground penetrating radar signal processing method for obtaining the thickness of a black soil layer, and the method comprises the steps: carrying out the detection in a detection region through a ground penetrating radar, and obtaining an original ground penetrating radar signal of each measurement point; the method comprises the following steps of: after preprocessing an original signal, decomposing the original signal into a plurality of intrinsic mode function components by adopting a variational mode decomposition method; and based on the time-frequency distribution characteristics of each component, eliminating noise components to obtain a de-noised signal, and determining the time domain position of the interface of the black soil layer by identifying a sudden change peak of an instantaneous frequency curve of the de-noised signal. And performing Hilbert transform on the preprocessed signal to obtain an envelope signal, determining the dielectric constant of the black soil layer according to an average envelope amplitude by combining a dielectric constant model, and calculating the propagation speed of the electromagnetic wave in the black soil layer. Determining the thickness of the black soil layer at each measuring point according to the time domain position of the interface of the black soil layer at each measuring point and the corresponding electromagnetic wave propagation speed; and based on the black soil layer thickness of each measuring point, black soil layer thickness distribution data of the detection area is generated through a spatial interpolation method.

This invention belongs to the field of obstacle avoidance technology for bucket wheel excavators, specifically a lidar system for obstacle avoidance in bucket wheel excavators. It includes a ground point cloud recognition module, a working material pile recognition module, a candidate target clustering module, an obstacle attribute determination module, and a safety control module. The system identifies the ground point cloud by performing height gradient analysis on the point cloud in the bucket wheel excavator's working area. Then, it predicts the material pile envelope based on the cantilever attitude and defines the point cloud on the material pile surface by combining surface continuity and the angle of repose, thereby structurally separating the ground, material pile, and residual point cloud. After eliminating the former two, the residual point cloud is three-dimensionally clustered to obtain candidate target clusters. By comparing the difference in reflection intensity and spatial relationship between the candidate clusters and the material pile surface, real obstacles are identified through multi-dimensional logic determination. Finally, kinematic collision detection is performed on the obstacles, and avoidance, deceleration, or stopping commands are generated according to the collision level, ensuring that alarms are only triggered for real, stable obstacles.

The application relates to a dynamic absolute distance measurement method based on sinusoidal frequency modulation interference and relates to the field of laser radar phase demodulation technology. The application is aimed at solving the problems of low precision and limited measurement range of the existing absolute distance measurement method. The dynamic absolute distance measurement method based on sinusoidal frequency modulation interference comprises the following steps: inputting light signals emitted by a sweep frequency light source into a first coupler, so that the light signals are divided into two light signals; inputting the two light signals into a measurement interferometer and an auxiliary interferometer respectively; compensating the asymmetry of output signals by using an ellipse fitting algorithm; extracting the phases of the measurement interferometer and the auxiliary interferometer signals with high precision by using an inverse tangent and unwrapping operation; filtering the phase of the measurement interferometer; directly calculating the relative displacement of a target by using the low-frequency part; calculating the envelope of the signal by using the high-frequency part; calculating the envelope of the phase of the auxiliary interferometer; and finally calculating the absolute distance of the target by taking the ratio of the two envelopes and eliminating the influence of modulation bandwidth fluctuation.

The embodiment of the present application relates to the technical field of laser radar, and discloses a kind of laser radar systems, the laser radar system includes: laser, for emitting continuous wave laser;Kerr optical frequency comb module, for generating kerr optical frequency comb according to the continuous wave laser;Signal generator, for producing first linear frequency modulation electrical signal;Modulation module, for loading the first linear frequency modulation electrical signal to the envelope of each wavelength laser in the kerr optical frequency comb, form the amplitude modulation light wave for the detection of the laser radar system.By the above mode, the embodiment of the present application improves the accuracy of laser radar system detection.

The invention discloses a coherent MIMO radar multi-channel accumulation detection method. According to the method, firstly, single-channel signals are accumulated through generalized Radon-Fourier transform (GRFT), then a virtual direction vector is introduced to replace a traditional direction vector, inter-channel differences and target motion parameters are effectively decoupled, and therefore inter-channel envelope differences and phase differences can be estimated in a lower dimension. And based on the estimated difference information, constructing an envelope alignment function and a phase compensation function, and finally realizing coherent accumulation of the multi-channel signals. According to the method, the echo signals of the high-speed maneuvering target can be effectively accumulated under the condition of low signal-to-noise ratio, and the calculation complexity is remarkably reduced.

The application discloses a kind of based on joint error correction's motor target array ISAR three-dimensional imaging method, belong to radar imaging technical field.The method includes: the envelope alignment of target echo data received by each antenna element, initial phase correction and azimuth FFT transformation, obtain multi-channel ISAR two-dimensional image;Complex motor target's space variation wave path difference model and unmanned aerial vehicle radar platform's array system error model are constructed;Multi-channel ISAR two-dimensional image is initially roughly registered using maximum correlation coefficient criterion;Multi-criterion cost function is constructed by fusing image domain similarity constraint and signal domain phase correlation constraint;And joint optimization is carried out to model error parameter;Phase compensation is carried out to multi-channel ISAR two-dimensional image using optimized error parameter, and the image after compensation is carried out DOA estimation and three-dimensional reconstruction, obtains array ISAR three-dimensional image.The method has the advantages of high precision, strong robustness and high degree of automation.

The invention discloses a track association method and system fusing radar echo envelope characteristics, relates to the technical field of radar target detection and tracking, and can accurately perform track association on each target in a radar observation scene in a scene with highly dense targets, mutual intersection or low signal-to-noise ratio of the targets. According to the technical scheme, a target in a radar echo signal at the current moment is detected, the envelope of the target is positioned, and an envelope bounding box is obtained; and predicting the position of the target at the current moment by using a least square method and the track at the previous moment, and constructing a predicted envelope bounding box at the current moment according to the envelope bounding box at the previous moment. And calculating the intersection-to-union ratio of all detected envelope bounding boxes and all predicted envelope bounding boxes at the current moment, and allocating the target detected at the current moment to the existing track by using a Hungary allocation algorithm. And repeating the steps, and completing track association in the whole radar observation period through loop iteration.

The present application relates to the field of microwave communication and radar technology, disclose a kind of microwave solid-state power amplifier power synthesis control method and system, the method comprises: obtaining microwave signal to be synthesized and each branch signal and extracting original instantaneous envelope data, its amplitude is smoothed to obtain smooth envelope data sequence;According to its trend fitting, obtain synthesis control characteristics;Obtain each branch initial signal and according to the characteristics, carry out consistency correction processing in time and space dimension, obtain response alignment data;Accordingly, carry out closed-loop parameter iterative optimization processing, generate branch synchronous compensation signal containing distortion evaluation factor;If the factor is over limit, carry out waveform high-precision reconstruction processing to generate high-fidelity signal data;The data is carried out multi-path collaborative dynamic equalization processing to obtain system balance state index, according to adaptive stability control processing, output target synthesis power signal.The present application can realize the dynamic accurate adjustment of power synthesis branch parameter, improve output stability.

This application relates to the field of radio direction finding technology, and in particular to an antenna tracking and alignment method and system based on conical scanning. The method includes: normalizing the amplitude envelope by frame division using a scanning phase reference signal; normalizing the deviation between the mean amplitude of the sub-window and the predicted value to obtain the real-time residual mean; generating inter-period jump degree and kinematic discrimination threshold simultaneously through a multi-period sliding window for azimuth and elevation angle errors; determining the number of re-evaluation periods based on the ratio of the two; freezing the elite parameter combination and successively calculating the fitness to obtain the elite stability; fusing the real-time residual mean and inter-period jump degree to obtain a signal quality score; driving the switching phase of the Skyhawk optimization algorithm; triggering elite degradation when the elite stability exceeds the adaptive discrimination threshold; and outputting the optimal parameter combination to complete beam alignment. The technical solution of this application enables continuous and accurate tracking in radar cross-section random scintillation scenarios.

The application discloses a Parkinson disease gait feature extraction method, a gait recognition method and a system based on a millimeter wave radar, and the feature extraction method comprises the following steps: collecting a millimeter wave radar signal, pre-processing the signal to obtain a Doppler spectrum and a distance spectrum of the signal; extracting a trunk speed curve from the Doppler spectrum of the signal by using an adjacent column constraint rule, extracting a trunk position change curve from the distance spectrum, and extracting basic gait information from the trunk speed curve and the trunk position change curve; extracting an envelope speed curve corresponding to sample motion from the Doppler spectrum, and screening out key gait features in combination with the basic gait information. The application does not depend on a multi-sensor wearing system, and fully reveals typical motion difference characteristics of Parkinson disease patients by targeted modeling of gait detail characteristics.

The present application belongs to the technical field of radar ranging, and particularly relates to an integer cycle acquisition method and device for pulse radar carrier phase ranging. The specific process of the method is as follows: step one, after target acquisition, a distance tracking loop is started to realize target echo envelope center tracking, and when the distance tracking loop meets the locking condition, an integer cycle acquisition loop is started; step two, the integer cycle acquisition loop is used to acquire an integer cycle for carrier phase ranging, and in the process of acquiring the integer cycle, a stable domain constraint, online stability judgment and bandwidth rollback mechanism are used to avoid dynamic instability caused by too narrow bandwidth, so that a smooth coarse distance and reliable integer cycle meeting the integer cycle judgment standard deviation constraint are obtained. The method and device can be used for reliable integer cycle acquisition in pulse radar carrier phase ranging.

The invention discloses a multi-radar power envelope fusion method, which comprises the steps of performing single-radar envelope modeling, and constructing an envelope fusion foundation; incoherent field fusion is determined, and a multi-radar envelope model is constructed; constructing a gradient diffusion model to realize envelope fusion smooth transition; euler method iterative convergence is displayed, and multi-radar envelope complete fusion is realized; and dynamically dividing a three-dimensional space by adopting a self-adaptive octree structure. The multi-radar power envelope fusion method has the beneficial effects that firstly, according to a radar equation, a propagation loss model and target scattering characteristics, the single-station detection probability of each radar unit at a grid point is calculated in a three-dimensional space voxelization mode; a probability union set or a more complex dependency relationship model is adopted, and a total-space joint detection probability field is generated through fusion; finally, through contour surface extraction (such as an improved March i ng Cubes algorithm) and color / transparency mapping driven by probability gradient, a fusion envelope curved surface with continuous vision and accurate mathematics is generated.

The invention discloses a broadband RCS frequency domain response measurement method based on a microwave photon radar. The method comprises the following steps: S1, respectively carrying out detection imaging on a target and a calibration piece in the same measurement environment by using a microwave photon radar of which emitted radar signals have a specific time-frequency mapping relationship; the theoretical RCS value of the calibration piece is known; s2, extracting image data of the scattering center of the target and the calibration piece, respectively transforming the image data into a time domain, and then respectively intercepting a time domain signal of one period from the image data; s3, performing envelope square alignment comparison on the single-cycle time domain signal of each scattering center of the target and the single-cycle time domain signal of the scattering center of the calibration piece to obtain a time domain ratio of each scattering center of the target; and S4, according to the specific time-frequency mapping relation, mapping the time-domain ratio into a frequency-domain ratio, and multiplying the frequency-domain ratio by the theoretical RCS value of the calibration piece to obtain the broadband RCS frequency-domain response of each scattering center of the target. According to the invention, rapid and simultaneous measurement of broadband RCS frequency domain responses of a plurality of scattering centers of a target can be realized.