Distributed multirate interacting multiple model (DMRIMM) filtering with out-of-sequence GMTI data

被引：0

作者：

Hong, L ^{[1
]}

Cong, S ^{[1
]}

Wicker, D ^{[1
]}

机构：

[1] Wright State Univ, Dept Elect Engn, Dayton, OH 45435 USA

来源：

PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOL II | 2002年

关键词：

tracking; multirate filtering; interacting multiple models; out-of-sequence measurements;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper develops a distributed approach for fusing GMTI data with out-of-sequence (OOS) measurements. A multirate interacting multiple model (MRIMM) fusion algorithm is developed for effectively fusing multirate information. To incorporate an OOS measurement, two major steps are needed: retrospection from current time to OOS time and updating the current estimate with the OOS measurement, which imposes a high computation and memory burden on implementing OOS filtering. The multirate approach provides an excellent framework for efficient information retrospection and forward update. The combination of global MRIMM fusion and local MRIMM tracking proves to be powerful for tracking and fusing maneuvering and nonmaneuvering targets in an environment of OOS measurement reporting.

引用

页码：1054 / 1061

页数：8

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