Target Tracking of Radar Seeker Based on Converted Measurement Kalman Filter

被引：0

作者：

Shi Wen ^{[1
]}

Wang Zhengyang ^{[1
]}

Zhou Shiping ^{[1
]}

Li Yunji ^{[1
]}

Hu Zhe ^{[1
]}

机构：

[1] China Aerosp Sci & Ind Corp, Design Dept 9, Wuhan, Peoples R China

来源：

2020 IEEE 3RD INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND SIGNAL PROCESSING (ICICSP 2020) | 2020年

关键词：

converted measurement Kalman filter; radar seeker; SIMU error; target tracking;

D O I：

10.1109/icicsp50920.2020.9232123

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For the requirement of sea-surface target tracking, based on CA motion model, the statistical distribution of the measurement deviation of radar seeker resulting from coordinate transformation and the prediction deviation caused by SIMU error was deduced in this paper. By removing such deviations in the measurement equation and the prediction equation in Kalman filter, the filter is able to converge correctly. Simulation results show the stable target tracking is achieved after a brief convergence by this method.

引用

页码：43 / 46

页数：4

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