Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (10): 3207-3212.doi: 10.12305/j.issn.1001-506X.2022.10.25

• Guidance, Navigation and Control • Previous Articles     Next Articles

Ballistic target tracking filter design based on EKF and ballistic equations

Zhaoqiang SUN*, Zhigui WANG, Fei MENG, Luyu LI, Zhong YU, Yan CHEN   

  1. Beijing Institute of Radio Measurement, Beijing 100854, China
  • Received:2020-07-29 Online:2022-09-20 Published:2022-10-24
  • Contact: Zhaoqiang SUN

Abstract:

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.

Key words: ballistic target, mass center motion equation, extended Kalman filter (EKF), filtering method

CLC Number: 

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