An improvement to the adaptive Kalman filter with the feedback of estimation error

被引：0

作者：

Promkajin, N ^{[1
]}

Noppanakeepong, S ^{[1
]}

机构：

[1] King Mongkuts Inst Technol, Fac Engn, Dept Telecommun Engn, Bangkok 10520, Thailand

来源：

SCORED 2003: STUDENT CONFERENCE ON RESEARCH AND DEVELOPMENT, PROCEEDINGS: NETWORKING THE FUTURE MIND IN CONVERGENCE TECHNOLOGY | 2003年

关键词：

Kalman filter; interacting multiple model; tracking;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a new novel technique for implementation of the adaptive Kalman filter. The algorithm is based on Kalman filtering tracking method with the addition of feedback estimation error. The performance of the algorithm is compared with that of a standard Kalman filter and also with that of an IMM algorithm. This proposed filter is simple to implement and requires less computational load while produce better estimates than the standard Kalman filter algorithm and closely to the IMM algorithm.

引用

页码：23 / 28

页数：6

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