Convergence of extended Kalman filter to locate a moving target in wild life telemetry

被引：0

作者：

Sugathadasa, S ^{[1
]}

Martin, C ^{[1
]}

Dayawansa, WP ^{[1
]}

机构：

[1] Texas Tech Univ, Dept Math, Lubbock, TX 79409 USA

来源：

PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 2000年

关键词：

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：

In wildlife telemetry and several other applications, some or all of the measurements consist of angles made with very poor accuracy. In these cases classical extended Kalman filtering, where the angles are treated as linear variables, tend to introduce errors in estimation on a sporadic basis due to incorrect handling of the angles. Here we propose a correction term in Kalman filtering equation which will ensure that the angular terms are treated in an invariant fashion.

引用

页码：2096 / 2099

页数：4

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