Ballistic target tracking filter design based on EKF and ballistic equations

被引：0
|
作者：
Sun Z. [1 ]
Wang Z. [1 ]
Meng F. [1 ]
Li L. [1 ]
Yu Z. [1 ]
Chen Y. [1 ]
机构：
[1] Beijing Institute of Radio Measurement, Beijing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 10期
关键词：
ballistic target; extended Kalman filter (EKF); filtering method; mass center motion equation;
D O I：
10.12305/j.issn.1001-506X.2022.10.25
中图分类号：
学科分类号：
摘要：
Given the requirement of more targets, lower track rate, higher track precision of radar, an extended Kalman filter (EKF) algorithm based on ballistic equation is proposed. Centroid motion equation of ballistic missile in midcourse and reentry is established, and EKF algorithm is improved. Through comparing to conventional EKF algorithm based on constant acceleration model and unscented Kalman filter (UKF) algorithm based on ballistic motion equation, EKF algorithm based on ballistic equation has higher filter precision, faster computation speed, which solves the practical problems in radar. © 2022 Chinese Institute of Electronics. All rights reserved.
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收藏
页码：3207 / 3212
页数：5
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