Target tracking based on amendatory Sage-Husa adaptive Kalman Filtering

被引：0
|
作者：
Yuan, Luo [1 ]
Lei, Ren [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Coll Elect Engn, Chongqing, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ELECTRONIC SCIENCE AND AUTOMATION CONTROL | 2015年 / 20卷
关键词：
Sage-Husa adaptive Kalman filter; Target tracking; Kalman filter; Amendment;
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：
Aiming at the boundedness of target tracking inaccuracy, even the lost of tracking caused by the error accumulation and state mutation in the aspect of target tracking using Kalman filter. The paper proposes a novel algorithm which is based on the modified Sage-Husa adaptive Kalman filter. This algorithm adjusts the predicted value of Sage-Husa adaptive Kalman filter in time by setting judgment and amendment rules, which can inhibit accumulation of error on target tracking and improve the filter precision in steady state and strengthen the stability and adaptability of filter. The experimental results show that the effectiveness of the novel algorithm.
引用
收藏
页码：91 / 94
页数：4
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