Unlock instant, AI-driven research and patent intelligence for your innovation.

Warning radar system error correction method based on iterative closestpoint algorithm

A technique of iterating the closest point and correction method, which is applied in radio wave measurement systems, complex mathematical operations, instruments, etc.

Active Publication Date: 2019-07-26
中国人民解放军陆军炮兵防空兵学院郑州校区 +1
View PDF8 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] This invention proposes a method for correcting the system error of the warning radar system based on the iterative closest point algorithm to solve the technical problem of how to correct the system error of the radar distance

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Warning radar system error correction method based on iterative closestpoint algorithm
  • Warning radar system error correction method based on iterative closestpoint algorithm
  • Warning radar system error correction method based on iterative closestpoint algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035]In order to make the purpose, content and advantages of the present invention clearer, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0036] The Iterative Closest Point (ICP) algorithm is mainly used for 3D model registration. The registration idea of ​​the algorithm is simple and efficient, and the accuracy and robustness are good. The basic purpose of the algorithm is to find the Euclidean transformation matrix between the target point cloud and the reference point cloud, so that the two sets of point clouds meet the optimal matching under a certain measurement criterion. For each data point in the target point set, search for the nearest point in the reference point set as a matching point pair during each iteration, estimate the transformation parameters through the obtained matching point pair, and apply this transformation matrix to the objective ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention belongs to the technical field of radar system error correction, and specifically relates to a warning radar system error correction method based on the iterative closestpoint algorithm.According to the warning radar system error correction method based on the iterative closestpoint algorithm, radar measurement data and ADS-B data are analyzed in apolar coordinate system, the straight line fitting algorithm is directly used on the ADS-B data for obtainingstraight line equation coefficientsso as to obtain a cosecant curve,a curve corresponding to a radar measurement track is subjected to high-order polynomial fitting in the polar coordinate system, and then the deviation between the fitting curve corresponding to radar measurement and the fitting curve corresponding to the ADS-B data is calculated through the ICP algorithm, and thus system errors of distance and direction in the radar measurement are obtained. The warning radar system error correction method based on theiterative closestpoint algorithm draws on related ideas of computer graphics, the influence of abnormal measurement on error correction is effectively eliminated through curve fitting, system error correction is realized by calculating the difference between a target curve and a reference curve, and the problem of temporal registration is cleverly avoided.

Description

technical field [0001] The invention belongs to the technical field of radar system error correction, and in particular relates to a warning radar system error correction method based on iterative closest point algorithm. Background technique [0002] In the radar networking system, multiple radars send detection data to the fusion center for data fusion. The prerequisite for successful multi-sensor data fusion is to transform the measurement data of each sensor into a common reference coordinate system after eliminating system errors. middle. If the system error is not compensated, the system error will increase the track tracking error. For multi-sensors, the system error will cause the same target to have a large deviation between the tracks of different radars, which will bring great harm to track correlation and fusion. The fuzziness and difficulty degrade the performance of the system track obtained by fusion, and lose the advantages that the radar itself should have....

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/40G06F17/17
CPCG01S7/40G06F17/17
Inventor 李鹏飞范恩王敬华魏冬峰杨军佳
Owner 中国人民解放军陆军炮兵防空兵学院郑州校区