Inequality Constrained Kalman Filter for Bearing-Only Target Motion Analysis

被引：0

作者：

Kim, Jonghoek ^{[1
]}

Suh, Taeil ^{[1
]}

Ryu, Jonha ^{[1
]}

机构：

[1] Agcy Def Dev, Chang Won, South Korea

来源：

2015 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS) | 2015年

关键词：

Inequality constrained kalman filter; BOTMA; constrained TMA; TRACKING;

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：

The Bearing-Only Target Motion Analysis (BOTMA) problem is to estimate the position and velocity of a target using bearing measurements. In this paper, we assume that the observer can access the inequality constraints imposed on target's speed, range, or target's course. For example, one constraint on a target's range is that it is upper bounded by the maximum sensing range of the observer. We introduce an inequality constrained TMA, which is to derive target states satisfying the constraints. We verify the effectiveness of our inequality constrained TMA using MATLAB simulations.

引用

页码：1607 / 1611

页数：5

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