Error Model-converted Measurement and Error Model-modified Extended Kalman Filters for Target Tracking

Defence Science Journal

G. Girija¹  S. K. Kashyap¹  J. R. Raol¹ 

[1] National Aerospace Laboratories, Bangalore

关键词: Polar measurements;    target tracking;    radar measurements;    Filter scheme;    ECMKF;    CMKF;    EMEKF;    algorithms;    Kalman filter;    target algorithms;    Cartesian coordinate frames;    polar frame;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: Defence Scientific Information & Documentation Centre

【 摘 要 】

Two-filter schemes have been evaluated to handle the polar measurements using error model (for bias correction and measurement noise covariance computation) for target-tracking application. It is assumed that a good reference source of target information is available. Schemes based on error model converted measurement Kalman filter (ECMKF) and error model modified extended-Kalman filter (EMEKF) algorithms are presented. Also some comparison with CMKF (debiased) is given. It is inferred that EMEKF gives better performance compared to other filters. Features of CMKF (debiased), ECMKF, and EMEKF are highlighted. Also the sensitivity study on the performance of EMEKF is carried out wrt to processing order of radar measurement channels.

【 授权许可】

Unknown