Multiple Sensor Measurement Updates for the Extended Target Tracking Random Matrix Model

被引：26

作者：

Vivone, Gemine ^{[1
]}

Granstrom, Karl ^{[2
]}

Braca, Paolo ^{[3
]}

Willett, Peter ^{[4
]}

机构：

[1] Univ Salerno, Dept Informat Engn Elect Engn & Applied Math, I-84084 Fisciano, Italy

[2] Chalmers Univ Technol, Dept Signals & Syst, S-41296 Gothenburg, Sweden

[3] North Atlantic Treaty Org, Sci & Technol Org, Ctr Maritime Res & Experimentat, I-19126 La Spezia, Italy

[4] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2017年 / 53卷 / 05期

关键词：

OBJECT; FILTER;

D O I：

10.1109/TAES.2017.2704166

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

In this paper, multiple sensor measurement update is studied for a random matrix model. Four different updates are presented and evaluated: three updates based on parametric approximations of the extended target state probability density function and one update based on a Rao-Black wellized (RB) particle approximation of the state density. An extensive simulation study shows that the RB particle approach shows best performance, at the price of higher computational cost, compared to parametric approximations.

引用

页码：2544 / 2558

页数：15

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