45 results about "Spaceborne radar" patented technology

The invention discloses an aerial target height estimation method based on satellite-borne radar networking. The radar networking is composed of a radar group consisting of two or more satellite-borne radars. The aerial target height estimation method comprises the following steps: step S1: using the radar group to respectively measure the radial distance and azimuth of the aerial target; step S2: using a position calculation model of the aerial target in the radar array coordinate system to calculate the position of the aerial target in the radar array coordinate system by using the least squares method; step S3: calculating the position of the aerial target in the satellite orbit coordinate system according to the position of the aerial target in the radar array coordinate system; step S4: calculating the altitude of the aerial target according to the position of the aerial target in the satellite orbit coordinate system and the radius of the earth where the aerial target is located. The invention establishes an equation group containing unknown variables such as the target altitude, thereby solving the problem that a single satellite-borne detection radar has a large target tracking pitch angle error and is unable to estimate the altitude of the aerial target.

The invention discloses a satellite-borne SAR (Synthetic Aperture Radar) radar target real-time guiding method based on ADS-B (Automatic Dependent Surveillance-Broadcast) signals, which relates to the technical field of radar control, and comprises the following steps: receiving Beidou dual-band signals and global ADS-B signals in real time, resolving by adopting a carrier phase double-difference ionosphere elimination combinatorial algorithm, and obtaining a satellite-borne SAR generating satellite platform pose data including satellite position component data, satellite speed component data and satellite attitude component data; inputting the airspace target point cloud data set into an adaptive airspace clustering algorithm, dynamically adjusting a clustering neighborhood radius by using satellite speed component data, and outputting central geographic coordinates of a target dense area; fusing the beam pointing vector and the angular velocity data through a beam-attitude dynamic coupling controller, and generating a phase shifter code value adjustment instruction; the neighborhood recognition range is dynamically adjusted through the real-time motion state of the satellite, and the positioning precision and timeliness of the dynamic airspace target dense area are remarkably improved. And the continuous monitoring capability and the guiding precision of the time-sensitive target are improved.

The invention relates to a satellite-ground radar reflectivity factor consistency evaluation and deviation traceability method and system, and belongs to the field of radar calibration evaluation, and the method comprises the steps: generating reference ground radar scanning parameters according to geographical environment multi-source heterogeneous data; acquiring satellite-ground radar data according to the scanning parameters of the reference ground-based radar when the satellite-borne radar passes the scene, and performing preprocessing and space-time matching to obtain a satellite-ground radar data pair; based on the target correction information of each height level region, performing sectional frequency correction on the spaceborne radar data to obtain an optimal satellite-ground radar data pair; and carrying out reflectivity factor consistency evaluation on the optimal satellite-ground radar data pair, taking an obtained evaluation result as a tracing reference, and carrying out deviation tracing calibration estimation on the service ground-based radar in combination with a satellite-ground radar reflectivity factor consistency evaluation result of the service ground-based radar. According to the method, the technical problems of precise evaluation of systematic deviation of satellite-ground radar data and unified evaluation and calibration of multi-service satellite-ground radars are solved.

The invention relates to a verification method and system for ground-based millimeter wave cloud radar data, and belongs to the technical field of meteorological analysis. The method comprises the following steps: establishing a clear sky echo identification and filtering method, and generating ground-based millimeter wave cloud radar base data after quality control; classifying the ground-based millimeter wave cloud radar base data after quality control into cloud data and rainfall data; the Cloud Sat satellite and the ground-based millimeter wave cloud radar after quality control have reflectivity factor matching and evaluation in cloud data; and matching and evaluating reflectivity factors in GPM satellite and quality-controlled ground-based millimeter wave cloud radar rainfall data. According to the invention, a ground-based millimeter wave cloud radar quality control and classification method is established, a high-quality refined ground-based millimeter wave cloud radar database can be generated, and a good basis is provided for ground-based millimeter wave cloud radar data application; a matching and evaluation method of spaceborne radar and ground-based millimeter wave cloud radar reflectivity factors under different conditions is established, and reference is provided for ground-based millimeter wave cloud radar calibration correction and satellite-ground radar combined application.

The invention relates to the technical field of meteorological disaster monitoring, and particularly discloses a severe convective weather tracking and early warning method based on radar data and deep learning, and the method comprises the steps: collecting original radar data in real time through a laser radar and a spaceborne radar, obtaining the original radar data, and carrying out the cleaning and feature extraction processing, thereby obtaining real-time spatial-temporal feature data; real-time spatial-temporal characteristic data of radar data are automatically learned through a deep learning model, so that the deep learning model has the capability of automatically identifying and tracking a severe convection system, the boundary and strength of the severe convection system are directly output through the deep learning model, and a mask of the severe convection system is directly generated through one-time forward propagation. The calculation amount of radar data is effectively reduced, finally, the future influence area of the severe convection system is predicted based on the evolution characteristics of the severe convection system, early warning information is generated and output, the whole process from data processing to early warning release is free of manual intervention, and the automation degree and efficiency of early warning are improved.

The application discloses a kind of ground and satellite-borne measurement precipitation data fusion algorithm under bayesian framework, comprising the following steps: selecting time and space matching satellite-borne measurement precipitation and ground radar measurement precipitation data, when matching, set certain space window and time window, time window is within ±6min with the time difference that ground radar starts once body scanning time that satellite-borne measurement sweeps matching space window, space window is the region that with ground radar as center, the circular region of r radius and the region that satellite-borne radar survey strip is intersected, the ground and satellite-borne measurement precipitation data fusion algorithm under bayesian framework of the application, based on hierarchical bayesian method, the fusion of ground radar and satellite-borne measurement precipitation data, improve satellite-borne measurement instantaneous precipitation precision, obtain the high-precision, high-resolution precipitation estimation result of comprehensive multi-source precipitation observation, and can quantitatively give the uncertainty size that fusion result contains, to better be applied to hydrological model.

The application discloses a calibrator star-based altimeter calibration system and method, which utilizes a calibrator star carrying a calibrator to correct the system error of a spaceborne radar altimeter, thereby completing the calibration of the altimeter to the earth. The calibrator can modulate and retransmit the pulse emitted by the altimeter, and the calibration factor can be calculated according to the echo of the calibrator without relying on the ground calibration field, and then the calibration task can be completed by substituting into the ground target echo equation. The method utilizes the calibrator star to convert the calibration task from the original single "air-ground" data acquisition to an integrated calibration system of "altimeter-load platform-ground target", and the calibrator is moved from the ground to the space, so that the ground clutter can be reduced or even eliminated, the system error and the atmospheric error can be separated, and the coupling problem of the system error and the atmospheric error can be indirectly completed.

The application discloses a landslide hidden point displacement monitoring system using multi-source data fusion, comprising: a multi-source sensing unit, the multi-source sensing unit comprising: a spaceborne radar sensing module, which is used for acquiring large-range ground surface deformation data through synthetic aperture radar; a ground surface deformation sensing module, which is used for monitoring ground surface displacement in real time through a dual-frequency GNSS receiver and a fiber bragg grating sensor; an underground stress sensing module, which is used for acquiring underground rock and soil body stress changes through a microseismic monitoring array and a distributed optical fiber sensor; an edge computing unit, the edge computing unit comprising: a dynamic weight fusion module, which is used for dynamically distributing multi-source sensor weights according to a geological state, and generating high-precision fused displacement field data. The application can break through the bottleneck of traditional monitoring systems in terms of data quality, model accuracy and response efficiency through multi-source data fusion, real-time model parameter updating and closed-loop optimization mechanism, and provide data support for precise early warning and intelligent emergency of landslide disasters.

The present invention discloses a method for estimating the height of an aerial target using a spaceborne radar based on multipath measurement. The method comprises: obtaining a signal transmission path when the spaceborne radar illuminates the aerial target; the signal transmission path comprises a transmission path, a reflection path and a scattering path obtained under a micro-multipath phenomenon; extracting key point information in the signal transmission path; and solving the height of the aerial target using the key point information. When a micro-multipath phenomenon occurs to the aerial target caused by the spaceborne radar, the present invention constructs a geometric relationship model using the signal transmission path in the micro-multipath phenomenon, and solves the height of the aerial target using a geometric method based on the geometric relationship model, thereby solving the problem of large errors in the pitch angle measurement of the aerial target by a single spaceborne radar.

The present invention discloses a method for estimating the pitch angle of an aerial target using a spaceborne radar based on satellite posture. The method comprises: selecting the position of the spaceborne radar, the position of the aerial target, the projection point of the aerial target on the ground, and the position of the center of the earth as reference points, and constructing a geometric relationship model between the spaceborne radar and the aerial target; obtaining a first parameter set and a second parameter set based on the geometric relationship model; constructing a first expression for a lower viewing angle according to the first parameter set, and constructing a second expression for a lower viewing angle according to the second parameter set; and jointly solving the pitch angle by using the first expression for the lower viewing angle and the second expression for the lower viewing angle. The present invention solves the problem of large errors in the pitch angle estimation value of the aerial target when the spaceborne radar undergoes posture transformation.

The application provides a kind of lossless echo spaceborne radar high-resolution wide swath timing design method, zebra chart is drawn using spaceborne radar parameters;The gap between the bands in the zebra chart selects the scene echo limiting area, thereby selecting the pulse repetition frequency range;Randomly select the pulse repetition frequency of each group in the pulse repetition frequency range to form a pulse repetition frequency sequence, and in turn judge whether the distance ambiguity corresponding to the pulse repetition frequency of adjacent two groups is consistent, if not consistent, then according to the pulse repetition frequency from small to large and from large to small, redesign the pulse repetition frequency at the connection of the group pulse repetition frequency sequence to obtain the designed pulse repetition frequency sequence. Through the fine timing design of the pulse repetition frequency sequence, the grouping pulse repetition frequency agile sequence without losing echo is obtained, which still uses the non-uniform undersampling method to ensure the high-resolution wide swath imaging requirements, and at the same time, it does not produce the collision of the transmit-receive timing, ensuring the integrity of the target information. In addition, the design also considers avoiding the influence of the nadir echo, ensuring the subsequent imaging quality.

The application provides a kind of satellite-borne radar working state autonomous recovery method, comprising the following steps: S1, determine the radar state recovery key variable of the satellite-borne radar;S2, add key variable saving module in the embedded software, for regularly storing the latest data of the radar state recovery key variable, and regularly setting watchdog fly monitoring flag and overall pre-reset instruction flag;S3, add logic branch submodule in the embedded software, for reading the watchdog fly monitoring flag and overall pre-reset instruction flag, and further executing radar normal power-on start initialization branch or watchdog fly reset branch or pre-reset instruction reset branch.The application can make the satellite-borne radar autonomously recover the working state after encountering single event upset failure, avoid causing the interruption of satellite-borne radar target tracking monitoring, improve the reliability of satellite-borne radar product on-orbit operation, and has the simplicity, independence, flexibility and wide applicability of implementation.

The application discloses a global average sea clutter near real-time estimation method, system, device and storage medium, including the following steps: obtaining multi-source satellite-borne radar historical backscattering coefficient data, and performing time and space matching and binning on the ERA5 wind field; an average sea clutter estimation model is established according to a geophysical model function fitting; the satellite-borne microwave scatterometer wind field is corrected in deviation and fused with a numerical weather prediction wind field, so that a high-coverage, continuous near real-time global sea surface wind field is obtained; the relative azimuth is calculated in combination with radar observation parameters and fused wind direction, and global average sea clutter data is obtained by using the model; the application improves the precision and application range of sea clutter estimation under the condition of medium and small incident angles, provides a high-quality input wind field through a multi-source wind field fusion technology, realizes rapid, stable and near real-time estimation of global average sea clutter, has high timeliness and business feasibility, and can meet the needs of near real-time sea clutter monitoring and ocean remote sensing application.

This invention discloses a factor graph-based distributed spaceborne radar network air target altitude estimation algorithm, comprising the following steps: Step 1, constructing an air target motion model and a spaceborne radar measurement model in the geocentric fourth equatorial coordinate system, and constructing a factor graph-based spaceborne radar target tracking model; Step 2, based on the factor graph, introducing the coupling function relationship between local variables of the air target, and obtaining the posterior marginal distribution of the local variables; using a nonparametric confidence propagation algorithm to calculate the posterior marginal distribution of the local variables, and obtaining the estimated value of the local variables based on the calculation result of the posterior marginal distribution; Step 3, based on the estimated value of the local variables, using an iterative approximation method to obtain the target altitude of the air target in the geodetic coordinate system. This solves the problems in existing technologies such as large elevation angle measurement errors for single spaceborne radars, difficulty in accurately tracking air targets, and inaccurate altitude estimation.

The invention provides a method and system for improving the wide-area search performance of a medium-orbit spaceborne radar, and the method comprises the steps: S1, analyzing the wide-area search performance influence factors of the medium-orbit spaceborne radar, and obtaining an analysis result; s2, proposing a performance improvement method based on the analysis result; and S3, evaluating the proposed performance improvement method, and outputting an evaluation result. The medium-orbit spaceborne radar wide-area search performance improving method and system are provided for the first time, and time resource waste caused by beam filling is reduced through an ingenious beam arrangement strategy and an A-transmitting and B-receiving control scheme.

1. Name of the product in this design: Modular antenna test fixture for spaceborne radar antenna. 2. Application of this design: Suitable for modular assembly testing fixtures for spaceborne radar antennas. 3. The key design features of this product are its appearance and shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention belongs to the technical field of radar moving target detection, and particularly relates to a complex environment distributed spaceborne radar moving target adaptive fusion detection method, which comprises the following steps of S1, constructing amplitude and phase fusion detection quantity of each spaceborne radar; s2, estimating statistical distribution characteristics of amplitude and phase fusion detection quantity of each spaceborne radar; s3, optimally designing the detection false alarm probability of each spaceborne radar; s4, determining a detection threshold value of each spaceborne radar; s5, obtaining a binary detection result of each spaceborne radar; s6, performing optimal weighted fusion on binary detection results of all spaceborne radars in the distributed system to obtain a global detection quantity; and S7, judging a moving target through global detection. According to the method, the airspace freedom degree of the distributed multi-star radar can be better utilized, and the problem that the detection probability of the weak and small moving target under the strong clutter background is low in the prior art is solved.

This invention provides a method and system for detecting ships using spaceborne ship monitoring radar, comprising: setting the pulse repetition frequency of the sea-penetrating radar on a zebra map; setting the sea-penetrating radar transmission signal; transmitting the signal and acquiring the sea-penetrating echo according to the settings; calculating the range ambiguity set where the main ambiguity energy is located; suppressing land ambiguity for the range ambiguity in the range ambiguity set; and detecting ships in the effective observation area of ​​the sea-penetrating echo after land ambiguity suppression. This invention noise-enhances the echo signal, solving the problem of false alarm detection and effectively improving the observation performance of space-based sea-surface detection radar; by using signal encoding and existing SAR image databases for range ambiguity suppression techniques, and by using a matched filter corresponding to the effective observation area to achieve range focusing in the effective observation area, it solves the problem of high range ambiguity requirements and realizes a spaceborne radar system for ship monitoring with low false alarm rates.

The invention provides a target three-dimensional positioning method and system based on satellite-borne radar multi-node combined processing, and the method comprises the steps: deploying a plurality of satellites, and obtaining a lower visual angle and a space cone angle of a target relative to the satellites; calculating a three-dimensional coordinate of the target in the satellite antenna panel coordinate system; constructing a layered conversion model from the earth fixed connection coordinate system to each satellite antenna panel coordinate system; constructing an overdetermined equation set taking a target coordinate under the earth fixed connection system as an unknown quantity; solving the equation set by adopting a least square algorithm to obtain a three-dimensional coordinate of the target under the earth fixed connection coordinate system; and finally, converting the data into longitude, latitude and height. According to the method, redundant information is formed through combined observation of multiple satellites, multi-satellite heterogenous observation is unified to the same reference by introducing a strict layered coordinate conversion model considering orbits, earth rotation and installation attitudes, solving is conducted in combination with an overdetermined equation set, and the precision and robustness of target three-dimensional positioning are remarkably improved.

The application relates to a novel quasi-zero stiffness vibration isolator and a design method, and belongs to the technical field of vibration isolators. The novel quasi-zero stiffness vibration isolator comprises a bottom flange seat, a top mounting flange vertically arranged above the bottom flange seat, an intermediate flange arranged between the top mounting flange and the bottom flange seat, a plurality of support columns connecting the intermediate flange and the bottom flange seat, a plurality of Euler beams connecting the intermediate flange and the top mounting flange, a limiting sleeve arranged in the middle of the bottom flange seat, a compression spring assembly arranged in the limiting sleeve, and a top block arranged at the top of the compression spring assembly and connected with the top mounting flange. Beneficial effects: the quasi-zero stiffness vibration isolator can obviously reduce the vibration amplitude and vibration decay time of an antenna and a feed source in a low frequency band under the condition of meeting the self mass and volume constraints, and effectively blocks the vibration caused by flexible accessories in a spaceborne radar.

The present application relates to a kind of star ground radar reflectivity factor consistency evaluation and deviation trace method and system, belong to radar calibration evaluation field, its method includes: according to the multi-source heterogeneous data of geographical environment, generate reference ground-based radar scanning parameter;When passing through star-borne radar, according to reference ground-based radar scanning parameter, obtain star ground radar data and carry out pre-processing and space-time matching, obtain star ground radar data pair;Based on the target revision information of each height level area, segment type frequency revision is carried out to star-borne radar data, and the optimal star ground radar data pair is obtained;Optimal star ground radar data pair is carried out reflectivity factor consistency evaluation, and the evaluation result obtained is used as trace reference, combined with the reflectivity factor consistency evaluation result of business ground-based radar star, deviation trace calibration estimation is carried out to business ground-based radar.This application solves the technical problems of accurate evaluation and unified evaluation calibration of the system deviation of star ground radar data.

The present application relates to the technical field of signal processing, in particular to a kind of azimuth ambiguity calculation method and device of space-borne synthetic aperture radar.Method comprising: obtaining the set parameter of space-borne radar;For each working mode, it is executed: based on set parameter, determine the position vector of target scene center point when space-borne radar irradiates target scene center point in current working mode, the latitude and longitude of target scene center point and the position vector of equivalent rotating point;Determine the position vector of each target position point in target scene;Determine the irradiation time of space-borne radar irradiating each target position point, and determine the off-axis angle of current target position point and radar beam pointing angle at each irradiation time in irradiation time;Determine the azimuth ambiguity of each target position point, to determine the azimuth ambiguity variation curve in current working mode.This scheme can improve the azimuth ambiguity calculation efficiency of space-borne synthetic aperture radar in different working modes by using general calculation method.

The invention relates to a satellite-borne radar high-precision near-field phase calibration method, and belongs to the technical field of space microwave remote sensing. Building a phase calibration system; the amplitude and phase value of each TR assembly channel are obtained, geometric profile data of the phased-array antenna are measured through a theodolite, and the three-dimensional geometric position (xn, yn, zn) of each TR assembly channel is obtained; calculating phase calibration data according to the three-dimensional geometric position (xn, yn, zn) of each TR assembly channel; performing phase calibration on the phase data measured by each TR assembly according to the phase calibration data and the antenna near-field measurement data to obtain calibrated antenna phase data, and measuring an antenna pattern according to the calibrated antenna phase data; according to the invention, high-precision extraction of the profile error of the phased-array antenna is realized, and the result of the profile error of the antenna is converted into the phase error value of the antenna, so that the phase error value is substituted into an antenna near-field calibration system, and the problem of high-precision trimming of the Ku-band satellite-borne phased-array antenna is solved.

The invention discloses a satellite-borne radar air target detection processing algorithm DSP engineering design system, which is realized by adopting a TI C66x series multi-core DSP, and is used for receiving input radar system parameters, receiving an input processing mode configuration instruction, entering a specified processing mode according to the processing mode configuration instruction, and after entering the specified processing mode, carrying out digital processing on the satellite-borne radar air target detection processing algorithm DSP engineering design system. Acquiring stored original echo data of the target, and performing collaborative parallel processing on the original echo data by utilizing a plurality of cores in the multi-core DSP according to an algorithm code corresponding to a specified processing mode to obtain a target detection result; the system includes six processing modes for executing six different overhead target detection processing algorithms. According to the invention, a multi-algorithm engineering implementation scheme for detecting the free target by the spaceborne radar is realized through the multi-core DSP single board, the limitations of insufficient motion compensation precision and incomplete processing flow in the prior art can be overcome, and the resource consumption and the operation time can be reduced.

The invention discloses an accelerated recovery type landslide self-repairing time prediction method, and belongs to the technical field of image geodetic survey and geological disaster monitoring and early warning thereof. Comprising the following steps: acquiring an earth surface deformation time sequence and an earth surface annual deformation rate of a research area by utilizing a multi-stage lifting orbit spaceborne radar image and adopting an MT-InSAR technology and an SAR POT technology, establishing an active landslide catalogue of the research area based on the earth surface deformation time sequence and the earth surface annual deformation rate by utilizing a spatial clustering algorithm, extracting average earth surface time sequence deformation in an active landslide range, and judging accelerated recovery type landslide. Fitting the earth surface deformation time sequence of the accelerated recovery type landslide, calculating the deformation evolution condition of the accelerated recovery type landslide based on the fitted exponential decay function, integrating all the information of the accelerated recovery type landslide, and establishing an accelerated recovery type landslide database. According to the method, automatic identification of the accelerated recovery type landslide and quantitative prediction of the recovery time are realized, and the accuracy and timeliness of landslide disaster risk assessment are improved.

The application discloses a kind of lake reservoir water storage variation multi-source radar remote sensing monitoring methods for african groundless data area, to solve the problem that african lack of ground data area traditional monitoring technology cost is high, difficult to carry out monitoring and analysis to lake reservoir water storage variation under extreme weather and dense time phase, steps include: collecting multi-source radar remote sensing data and carrying out data preprocessing and screening;Utilize SAR image data to obtain lake reservoir area change sequence, utilize spaceborne radar altimeter data to obtain lake reservoir water level change sequence;Establish the relationship model of lake reservoir area and water level change, reconstruct lake reservoir area, water level change time sequence;Construct lake reservoir water storage variation estimation model, monitor each lake reservoir water storage variation in the region to be measured, analyze lake reservoir water storage variation characteristics.The method of the application is suitable for lake reservoir water storage variation monitoring in groundless data area, can reduce data dependence and weather influence, obtain high time resolution lake and reservoir water storage variation information.

The application provides a kind of distributed spaceborne radar air mobile target imaging method, system and electronic equipment, related to synthetic aperture radar (SAR) imaging technical field, the method comprises: obtaining three same orbit satellite and air mobile target, and constructs distributed spaceborne radar air mobile target imaging model, obtains multi-channel original echo data;The multi-channel original echo data is pretreated, and the equivalent time axis is constructed according to the multi-channel original echo data after pretreatment, and coherent fusion processing is carried out, to obtain fusion echo data;Reference point and image entropy are obtained, the fusion echo data is matched filtering processing, and based on reference point and image entropy, envelope alignment and phase correction processing are executed, and azimuth fast fourier transform is carried out, to obtain target SAR image.The application realizes the high resolution, high robustness SAR imaging of air mobile target, solves the problems of low resolution of single satellite, multi-satellite asynchronization and mobile target imaging defocus.

The application belongs to the field of satellite-borne radar synthetic aperture radar design and signal processing, and discloses a high-orbit SAR imaging system for fast time-varying scene observation, which comprises two high-orbit SAR satellites in inclined orbits and an echo signal processing module, the two high-orbit SAR satellites in inclined orbits are respectively a main satellite and an auxiliary satellite, are used for simultaneously starting to observe the same ground scene area, and receive the backscattering echo signals of the ground scene area; the echo signal processing module is used for sequentially performing distance direction pulse compression processing, cross-correlation processing and time domain back projection processing on the backscattering echo signals received by the two high-orbit SAR satellites in inclined orbits, and obtaining a high-resolution correlation function diagram. The system overcomes the defect that the synthetic aperture time of high-orbit SAR imaging is long, the azimuth imaging resolution is improved by 1-2 orders of magnitude compared with the traditional SAR imaging resolution, and the efficiency of high-orbit SAR marine application is greatly improved.

A new measurement approach is disclosed that facilitates significantly smaller size, weight, and power (SWaP) spaceborne radar systems that can provide wide swath, high resolution observations. Multiple beams employed in the scan and the complex volume and / or surface backscatter signals of each beam is recorded. Each beam is electronically swept in azimuth where each beam is held at a constant incidence angle over the azimuth sector that covers the swath. Once the sweep is complete, the platform moves forward, by one along track pixel, and the sweep is repeated in order to provide continuous mapping of the volume and surface covered by the swath. Complex volume backscatter is recorded and mapped to each altitude layer to provide full mapping of the atmosphere.

The present application belongs to the technical field of spaceborne radar data processing, and particularly relates to a crop heading stage identification method and system based on radar time series observation, which obtains a depolarization index through index calculation, realizes periodic parameter extraction of the time series depolarization index through harmonic decomposition, determines the dominant periodic component of the time series depolarization index through weight analysis, identifies the crop heading stage through wave peak detection, and realizes crop heading stage mapping in combination with land use products. The present application determines the dominant periodic component of the time series depolarization index through weight analysis, identifies the crop heading stage through wave peak detection, and realizes crop heading stage mapping in combination with land use products, and is suitable for large-area crop heading stage identification in the case of complex and diverse farming practices and frequent cloud and fog meteorological interference, and solves the three major problems of lack of prior phenological information, heading stage feature ambiguity and non-heading stage feature interference in the current crop heading stage identification using radar data.