An IMM algorithm based on augmented kalman filter for maneuvering target tracking

Scientific Research and Essays

Ahmadreza Amirzadeh¹ 

关键词:  ;    Maneuvering target tracking;    interacting multiple model (IMM);    standard kalman filter (SKF);    augmented kalman filter (AUKF).;   

DOI  :  10.5897/SRE10.980

学科分类：社会科学、人文和艺术（综合）

来源: Academic Journals

【 摘 要 】

In this paper, in order to increase the accuracy of interacting multiple model (IMM) algorithm in presence of low and medium maneuvers, a new IMM algorithm based on Augmented Kalman Filter (AUKF) has been proposed. The accuracy of the IMM algorithm depends upon having a set of filters with motion models which are similar at all times to the real target situations. One way to increase the accuracy of this estimator is to substitute more accurate filters instead of the Standard Kalman Filter (SKF) in it. In order to improve the performance of IMM algorithm, this paper proposes to replace each SKF in the IMM algorithm with the AUKF. Due to the better accuracy of the AUKF than SKF in presence of low and medium maneuvers, this substitution will improve the performance of IMM algorithm in these maneuvering levels. The Monte-Carlo simulation results show the accuracy of the proposed method.

【 授权许可】

CC BY