Constrained Two-stage Kalman Filter for Target Tracking

被引：0

作者：

Khabbazi, Mohammad-Reza ^{[1
]}

Esfanjani, Reza Mahboobi ^{[1
]}

机构：

[1] Sahand Univ Technol, Dept Elect Engn, Tabriz, Iran

来源：

2014 4TH INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE) | 2014年

关键词：

Kalman filter; state constraint; projection method; modeling uncertainty;

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 note investigates the problem of state estimation for an uncertain linear system with a priori known information in the form of equality constraints. System projection idea is employed to develop a robust two-stage Kalman filter satisfying state constraints. The proposed method is utilized to solve the target tracking problem. Simulation results illustrate that the proposed two-stage filter outperforms the standard constrained Kalman filter.

引用

页码：393 / 397

页数：5

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