An information theoretic approach to observer path design for bearings-only tracking

被引：0
|
作者：
Logothetis, A [1 ]
Isaksson, A [1 ]
Evans, RJ [1 ]
机构：
[1] Univ Melbourne, Dept Elect & Elect Engn, Parkville, Vic 3052, Australia
来源：
PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 1997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：
Open-loop control strategies, via information theoretic criteria, for the design of optimal observer trajectories in the bearings-only tracking problem are presented. The aim is to obtain tight bounds on the location and velocity of a single target through own ship maneuvers. An information theoretic approach for stochastic observability is investigated in [7]. In this paper, optimal paths are derived by maximizing the mutual information between the measurement sequence and the final target state or the entire target trajectory. Optimization techniques, such as dynamic programming and enumeration with optimal pruning are derived.
引用
收藏
页码：3132 / 3137
页数：6
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