Adaptive Grid Interacting Multiple Model Algorithm Based on CKF

被引：0

作者：

Wei Hao ^{[1
,2
]}

Cai Zong-ping ^{[1
]}

Yu Ze-xiang ^{[1
]}

机构：

[1] Xian High Tech Res Inst, Dept Automat, Xian, Shaanxi, Peoples R China

[2] Beijing Inst Remote Sensing Equipment, Beijing, Peoples R China

来源：

CONFERENCE PROCEEDINGS OF 2017 3RD IEEE INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE) | 2017年

关键词：

target tracking; cubature kalman filter; adaptive grid; interacting multiple model; variable structure multiple model;

D O I：

暂无

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 nonlinear problem in target tracking, on the basis of maneuver turn model, the AGIMMCKF-algorithm is proposed, which is a variable multiple model algorithm that combined cubature kalman filter (CKF) with adaptive grid (AG). CKF as a filter, the algorithm using grid center and the adjustment of the minimum distance between grid to change turn model set adaptively so as to effectively track targets, and then compared with IMMCKF. The simulation results show that the proposed algorithm has higher tracking accuracy and stability compared with IMMCKF algorithm in the absence of an increase in running time.

引用

页码：642 / 645

页数：4

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