81 results about "Spaceborne radar" patented technology

The invention discloses a landslide hidden danger point displacement monitoring system applying multi-source data fusion, and the system comprises a multi-source sensing unit which comprises a spaceborne radar sensing module which is used for obtaining large-range ground surface deformation data through a synthetic aperture radar; the earth surface deformation sensing module is used for monitoring earth surface displacement in real time through a double-frequency GNSS receiver and an optical fiber grating sensor; the underground stress sensing module is used for acquiring the stress change of an underground rock-soil body through a micro-seismic monitoring array and a distributed optical fiber sensor; and the edge calculation unit comprises a dynamic weight fusion module which is used for dynamically distributing the weight of the multi-source sensor according to the geological state and generating high-precision fusion displacement field data. According to the invention, through multi-source data fusion, model parameter real-time updating and a closed-loop optimization mechanism, bottlenecks of a traditional monitoring system in aspects of data quality, model precision and response efficiency are broken through, and data support is provided for accurate early warning and intelligent emergency of landslide disasters.

The invention relates to the technical field of meteorological analysis, and more specifically relates to a satellite-borne and multiband ground-based radar reflectivity factor joint verification method and a satellite-borne and multiband ground-based radar reflectivity factor joint verification system. The scheme comprises the following steps: setting data sources of a spaceborne radar and a ground-based weather radar; performing data quality control according to the data sources of the spaceborne radar and the ground-based weather radar to form a corrected data source; matching and comparing the reflectivity factors of the spaceborne radar and the ground-based weather radar according to the corrected data source to form optimal pairing data; establishing a fused networking radar consistency evaluation algorithm to determine an alarm list, and forming a problem level; standard comparison is carried out on the ground-based radar reflectivity factors to form a matching result of the standard database and the novel spaceborne radar FY3-G / PMR; evaluation classification is set, and evaluation results under different classifications of the matching result of the standard database and the novel spaceborne radar FY3-G / PMR are formed and stored.

The embodiment of the invention provides a spaceborne radar and ground-based millimeter wave cloud radar reflectivity factor uniformity evaluation method, which is applied to the technical field of atmospheric detection. The method comprises the following steps: acquiring reflectivity factor data of a spaceborne radar and a ground-based millimeter wave cloud radar; establishing reflectivity factor space-time matching data of the spaceborne radar and the ground-based millimeter wave cloud radar according to the reflectivity factor data by taking vertical direction scanning as a reference; preprocessing the time-space matching data of the reflectivity factors; and based on a preset uniformity evaluation algorithm, an evaluation result is calculated according to the preprocessed reflectivity factor space-time matching data. In this way, errors between original data can be better revealed, and a good foundation is laid for product inversion in the next step.

The invention discloses a ground-based radar calibration deviation estimation method based on satellite-ground precipitation radar verification, and the method mainly comprises the steps: carrying out the frequency correction of a satellite-borne radar SR reflectivity factor from a Ku wave band to an S wave band, and carrying out the projection conversion of a polar coordinate system with a ground-based radar GR as a center after the correction; the converted SR and GR reflectivity factors are subjected to overlapping matching in time and space which are accurate to seconds; the mean value precision is improved through inverse distance weight, and the precipitation space heterogeneity of SR and GR in the matching space is reduced through the in-pixel non-uniform beam filling quality control technology; a satellite-ground precipitation radar quality control factor threshold standard system is established, whole-process quality control is carried out in the calibration deviation estimation process, and finally ground-based radar GR calibration deviation estimation is realized through comparison verification of spaceborne radar SR and ground-based radar GR reflectivity factors after quality control processing. According to the invention, the error of satellite-ground radar inspection can be effectively reduced, and the precision of rainfall estimation is improved.

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 discloses a satellite-borne radar measurement data timestamp synchronous timing method and system. The method comprises the steps that a satellite time timer is designed through an FPGA logic circuit for timing; according to the second pulse signal, second synchronous timing is carried out on the star time timer through an FPGA logic circuit; according to an irregular satellite time broadcast signal and the second pulse signal, world coordinated time correction is carried out on the satellite time timer through an FPGA logic circuit; and performing timestamp synchronous timing on the spaceborne radar measurement data. Through the design of the FPGA logic circuit, second synchronous time calibration and world coordinated time calibration are carried out on the satellite time timer, high-precision synchronous time calibration of spaceborne radar time is achieved, the high-precision synchronization requirement of spaceborne radar of a GNC control system is met, the time stamp synchronous time calibration design is further added to output measurement data of the spaceborne radar, and the time calibration precision of the spaceborne radar is improved. And the measurement precision of spaceborne radar measurement data is effectively improved.

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 present invention 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. The method comprises: obtaining a depolarization index by means of index calculation, implementing extraction of periodic parameters of a time-series depolarization index by means of harmonic decomposition, determining a dominant periodic component of the time-series depolarization index by means of weight analysis, identifying a crop heading stage by means of peak detection, and implementing crop heading stage mapping on the basis of a land use product. In the present invention, a dominant periodic component of a time-series depolarization index is determined by means of weight analysis, a crop heading stage is identified by means of peak detection, and crop heading stage mapping is implemented on the basis of a land use product. The present invention is applicable to large-area crop heading stage identification involving complex and diverse tillage practices and frequent cloud and mist meteorological interference, and solves the present three problems, namely, the lack of prior phenological information, fuzzy heading stage features and interference of non-heading-stage features, in the crop heading stage identification using radar data.

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 invention relates to a satellite-borne radar antenna baseline real-time six-degree-of-freedom measurement device and a measurement method. The satellite-borne radar antenna baseline real-time six-degree-of-freedom measurement device comprises a distance measurement assembly, a rotation angle measurement assembly and a displacement measurement assembly, one side of a satellite is provided with an extension arm capable of extending or retracting, one side of one end, away from the satellite, of the extension arm is provided with an extension antenna, and the distance measurement assembly is installed on one side of the satellite and the extension antenna. The displacement measuring assembly is arranged on one side of the satellite and on the extending antenna and used for measuring the rotation angle of the extending antenna surrounding the satellite and the rotation angle of the extending antenna rotating around the satellite, and the displacement measuring assembly is arranged on one side of the satellite and on the extending antenna and used for measuring the displacement change of the extending antenna in the antenna base line direction. The angle of rotation of the extension antenna around the axis of the extension arm is measured. The device has the advantages of being reasonable in structural design, and capable of measuring the position and the rotation angle of the extending antenna relative to the fixed antenna in real time, and further correcting a radar baseline in real time to ensure the on-orbit working performance of the radar.

The invention provides a radar satellite three-dimensional attitude guiding method and system, and the method comprises the steps: calculating the geocentric distance and geocentric latitude and longitude of a satellite according to satellite orbit parameter information, calculating the height of the satellite and the geodetic latitude and longitude of a droop point through a WGS-84 reference ellipsoid model, and further obtaining the geocentric latitude and the earth radius of the droop point. The position vectors of the droop point and the satellite in a WGS-84 earth-fixed coordinate system are obtained respectively, the position vectors of the droop point and the satellite are compared to obtain the position vector from the satellite to the droop point, then the position vector is converted into a satellite orbit coordinate system, and rolling and pitching guide angles are calculated. Doppler frequency deviation caused by earth rotation is compensated by adjusting the yaw guide angle. According to the method, the problem that loads such as a spaceborne radar altimeter vertically point to the earth surface of the earth reference ellipsoid model is successfully solved, meanwhile, Doppler frequency deviation generated by earth rotation is compensated, and important technical support can be provided for a subsequent radar satellite earth observation task.

The invention provides a high-precision target inversion method based on a spaceborne platform, and relates to the technical field of target inversion methods, and the method comprises the steps: transmitting radar signals of different wavelengths to an inversion target through a spaceborne radar, obtaining a continuous reflection signal of a to-be-inverted target, and extracting reflection features through fast Fourier transform, thereby obtaining a high-precision target inversion result. Calculating a direction angle uniform value, an overlook angle difference value and a height difference distribution value according to the coordinate position of the inversion target and the coordinate position and the number of spaceborne radars, forming spatial characteristics of the inversion target, obtaining environment data, calculating an environment influence coefficient by calculating a refraction value and an attenuation coefficient, judging the influence of environment change on radar waves, and obtaining the inversion target of the spaceborne radars. And forming an inversion time sequence data set by using the reflection characteristics, the radar signal wavelength, the spatial characteristics, the environmental influence coefficient and an inversion target type, obtaining a training data set, establishing a target inversion model, collecting a real-time inversion characteristic set as the input of the model, and obtaining a real-time inversion result.

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 invention discloses a spaceborne radar sea surface target signal pulse accumulation and clutter suppression method, which comprises the following steps of: reconstructing an azimuth time variable by utilizing second-order keystone transformation to obtain an echo signal after distance correction, extracting an azimuth signal of the same distance unit from the echo signal after distance correction through a de-chirp function, and processing the azimuth signal to obtain a clutter suppression signal; therefore, de-chirping of the azimuth signal is realized; intra-frame coherent inter-frame non-coherent hybrid accumulation processing is carried out on an intra-frame signal of a decomposed frequency domain to obtain an echo signal containing a target signal and clutter, and the problems of span distance and Doppler unit in long-time accumulation of a moving target are optimized; the method comprises the following steps: performing inverse Fourier transform on an echo signal containing a target signal and clutter to obtain a singular value matrix after clutter suppression, and performing slow time Fourier transform on a reconstructed echo matrix to obtain an accumulation result after clutter suppression. The problem that the moving target detection performance of an existing spaceborne radar is insufficient under the influence of clutters existing in echo signals is solved.

The present invention discloses a method for positioning a spaceborne radar radiation source considering ionospheric correction. An observation equation of a reference station considering only the ionospheric influence is established. The double-difference equation is obtained by pairwise subtraction of the reference station observation equations, thereby eliminating the receiver clock error of the reference station and the receiver clock error of the navigation spaceborne transceiver, and obtaining the double-difference ionospheric delay corresponding to the corresponding sub-reference station. The double-difference ionospheric delays of each sub-reference station are combined with the approximate coordinates of the virtual observation station to obtain the double-difference ionospheric delays of each sub-navigation spaceborne transceiver corresponding to the virtual observation station. Then, short baseline solution is carried out in combination with the coordinates of the radiation source target without ionospheric correction to complete differential positioning and obtain the coordinates of the radiation source target after eliminating the ionospheric delay. The present invention uses the VRS method model to eliminate the influence of the ionosphere, and the positioning result has higher accuracy.

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 invention relates to a multi-mode synthetic aperture radar wave position selection method with variable pulse width. The method comprises the following steps: initializing design parameters of a spaceborne radar system; determining a pulse repetition frequency constraint range of each imaging mode; calculating a time sequence constraint relation between a radar echo receiving window and sub-satellite point echo interference and transmitted pulse interference, decoupling pulse width, and drawing a zebra map; according to the zebra diagram, gradually selecting wave positions from a low angle to a high angle, and determining a lower visual angle central angle and a pulse repetition frequency of each wave position; when the wave position meeting the time sequence constraint relation cannot be selected from a certain lower view angle, the duty ratio in the design parameters is adjusted, and the time sequence constraint relation and the pulse width are regenerated; and outputting the selected wave position result. By optimizing the pulse parameters, the problem that the pulse width of a traditional SAR system is limited in multiple modes is solved, and the flexibility and imaging performance of the system are remarkably improved.

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.

The aspects of the disclosed embodiments are directed to a dual-polarized, wideband, lightweight P-band (435 MHz) antenna element and array for spaceborne radar applications. The antenna array was developed for planetary synthetic aperture radar (SAR) applications, but it is also suitable for earth science applications (i.e., airborne and earth orbiting radar) as well as other RF applications that require beam steering (e.g., communications). The antenna array is based on lightweight, low-profile antenna elements that form the building blocks of a manageable array panel that can in turn be used to build larger arrays consisting of multiple panels. The element design combines a novel, mostly planar conductor antenna element geometry with a robust light-weight composite material construction. The antenna element and array design, reported here for P-band operation, can be scaled to other frequencies (e.g., L-, S-, C-, or X-bands) for other radar applications where lightweight and beam agility are required.

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.