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10 results about "Radar systems" patented technology

Method for calibrating gain ratio of polarization lidar

ActiveCN106597414AEasy to operateNot subject to non-ideal polarization propertiesWave based measurement systemsRadar systemsVector theory
The present invention discloses a method for calibrating the gain ratio of a polarization lidar. The method includes the following steps that: a half-wave plate is arranged in front of a polarization beam splitter prism in a polarization lidar receiving system; the fast axis of the half-wave plate can face any direction, light intensity IR and light intensity IT received by the reflection channel detector and transmission channel detector of the polarization beam splitter prism are recorded; the half-wave plate is rotated by 45 degrees, and light intensity IR and light intensity IT received by the reflection channel detector and transmission channel detector are recorded; and the light intensities received by the two detectors before and after the rotation of the half-wave plate are introduced into an equation that (IR+IR)/(IT+IT)=G, so that the gain ratio G of the polarization lidar can be obtained. The calibration method strictly agrees with Miller matrix-Stokes vector theory, and can directly obtain the gain ratio of the polarization lidar system. The calibration method has good robustness. The calibration result of the calibration method is not affected by factors such as the non-ideal linear polarization of emission laser, atmospheric conditions, and the non-ideal polarization characteristic of an optical element in front of the half-wave plate. The calibration method is high in accuracy and extremely simple to operate.
Owner:ZHEJIANG UNIV

Radio frequency interference suppression method for high frequency surface wave radar based on tensor subspace projection

ActiveCN110045337AAccurate estimatePreserve and utilize multidimensional structural propertiesICT adaptationRadio wave reradiation/reflectionRadar systemsTarget signal
The invention provides a radio frequency interference suppression method for a high frequency surface wave radar based on tensor subspace projection. Depending on the distance correlation and direction characteristics of radio frequency interference, joint estimation is performed on a radio frequency interference subspace from multiple dimensions by tensor decomposition. The implementation processcomprises the following steps: performing Doppler sliding window processing based on radar data to finish data segmentation; performing radio frequency interference detection; judging whether interference frequency points exist in a currently-selected data block or not; if radio frequency interference exists, constructing a third-order tensor by using long-distance metadata without sea echo of multiple antenna channels to serve as a training tensor; performing tensor decomposition on the training tensor by using high-order singular value decomposition; estimating a radio frequency interference subspace; and performing distance sliding window and subspace projection processing to obtain data without radio frequency interference. The method can suppress radio frequency interference to a great extent, improve data quality and retain a target signal completely, has a good application effect, improves the detection performance of a radar system, and has important practical application value.
Owner:WUHAN UNIV

Laser vision strong coupling SLAM method based on adaptive factor graph

ActiveCN114018236ALow utilizationHigh positioning and mapping capabilitiesInternal combustion piston enginesNavigation by speed/acceleration measurementsPattern recognitionRadar systems
The invention discloses a laser vision strong coupling SLAM method based on an adaptive factor graph, and relates to the field of laser vision strong coupling. At present, a visual system and a radar system are not tightly combined, the fusion mode of multi-sensor data cannot be dynamically adjusted, and the utilization degree of feature information is low. The method provided by the invention comprises the following steps: defining four robot scenes, and judging the scene of the current robot through a scene detection module according to collected data of a laser radar and a monocular camera; preprocessing the data received by the IMU through the scene where the robot is located, and calculaing the relative pose of the robot between the two frames of laser radar data; enabling the laser speedometer module to uses different inter-frame matching modes according to a scene where the robot is located to obtain a robot pose between two frames; and enabling the monocular camera module to collect feature point information and carry out re-projection error calculation. The method is suitable for autonomous positioning and environmental perception of the robot in an indoor and outdoor fusion scene without GPS information.
Owner:HARBIN ENG UNIV +1

Sight angle-based multi-station radar multi-target data association method

ActiveCN113534130AImprove accuracyRadio wave reradiation/reflectionECEFRadar systems
The invention provides a sight angle-based multi-station radar multi-target data association method. The method comprises the implementation steps of constructing a multi-target association scene of a multi-station radar system; constructing a conversion matrix; acquiring position coordinates of each radar in an earth rectangular coordinate system ECEF; calculating an azimuth angle and a pitch angle of a sight line where a target echo received by each radar is located under an earth rectangular coordinate system ECEF; calculating the minimum distance between the target echo sight lines of every two radars and the beam width of the target echo of the radar at the position of the minimum distance; and enabling the signal fusion center to obtain a multi-station radar multi-target association result. According to the method, the minimum distance between the sight lines is calculated by using the angle information of the target echo sight lines, and through comparison between the minimum distance and the beam width at the nearest point, the association problem of the target echoes in a multi-station radar multi-target scene is solved, and the accuracy of target data association is improved.
Owner:XIDIAN UNIV +1

AR-HUD/LCD omnidirectional target detection and display method based on human eye attention

PendingCN114037980AIncrease consumptionIncrease computational costImage enhancementImage analysisFace detectionDriver/operator
The invention discloses an AR-HUD/LCD omnidirectional target detection and display method based on human eye attention, and belongs to the technical field of automatic driving, automobile environment perception, and intelligent cabins. The method comprises the following steps: acquiring a face image of a driver through a monocular camera; calibrating the monocular camera to obtain an internal reference matrix and a distortion parameter of the camera; carrying out distortion removal and graying on the image to obtain a self-quotient image; extracting a face area through a face detector, and then extracting coordinates of left and right pupils in an image plane of the monocular camera; according to the pupil image plane coordinates and pupil distance constraints, solving driver eye position space coordinates used for AR-HUD/LCD virtual image display. A neural network is used for detecting changes of a face angle of a driver, a driver attention vector is obtained, a target is detected in a vehicle-mounted panoramic image or an omnidirectional radar system according to the attention vector, and a detection object in an attention vector area is displayed through AR-HUD/LCD. According to the invention, system computing resources are saved, and the real-time performance of the detection system is improved.
Owner:CHONGQING UNIV OF POSTS & TELECOMM

Broadband polarization radar target detection method based on stokes vector decomposition

ActiveCN113109777AMeet real-time requirementsWave based measurement systemsComplex mathematical operationsRadar systemsEngineering
The invention provides a broadband polarization radar target detection method based on Stokes vector decomposition, and the method comprises the steps: carrying out the Stokes decomposition of dual-polarization radar echo data obtained from a radar system, and obtaining a component sequence; according to a preset detection threshold, detecting the component sequence by using a multi-channel detection algorithm based on sequence statistics to obtain a detection result; and fusing the detection results to obtain a final detection result after fusion. According to the invention, the signal-to-clutter ratio of the target is increased by using the difference between the polarization characteristics of the target and the clutter, and the target is detected by combining and using the multi-channel detection algorithm which is high in target energy accumulation efficiency and based on the sequence statistics, so that the target detection probability of the broadband polarization system radar is improved, engineering implementation is easy, the method is applied to a radar system, and accurate detection of the radar on the target is facilitated.
Owner:XIDIAN UNIV
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