Model-set design, choice, and comparison for multiple-model estimation

被引：11

作者：

Li, XR ^{[1
]}

He, C ^{[1
]}

机构：

[1] Univ New Orleans, Dept Elect Engn, New Orleans, LA 70148 USA

来源：

SIGNAL AND DATA PROCESSING OF SMALL TARGETS 1999 | 1999年 / 3809卷

关键词：

multiple models; variable structure; target tracking; model-set design; model-set choice; adaptive estimation;

D O I：

10.1117/12.364047

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

This paper deals with the design, choice, and comparison of model sets in the multiple-model (MM) approach to adaptive estimation. Most representative problems of model-set choice and design are considered. As the basis of model-set choice and design, criteria for model-set comparison and choice based on base-state estimation, mode estimation, mode identification, hybrid-state estimation, and hypothesis testing are presented first. Several computationally efficient and easily implementable solutions of the model-set choice problems based on sequential hypothesis tests are presented. Some of these solutions are optimal. Their effectiveness is verified via simulation. How these criteria and results can be used for model-set design is demonstrated via several examples. It is also demonstrated how a probabilistic model of possible scenarios can be constructed.

引用

页码：501 / 513

页数：13

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