A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering

被引：52

作者：

Beard, Michael ^{[1
]}

Vo, Ba Tuong ^{[2
]}

Vo, Ba-Ngu ^{[2
]}

Arulampalam, Sanjeev ^{[1
]}

机构：

[1] Def Sci & Technol Org, Rockingham Dc, WA 6967, Australia

[2] Curtin Univ, Dept Elect & Comp Engn, Bentley, WA, Australia

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2013年 / 49卷 / 04期

基金：

澳大利亚研究理事会;

关键词：

HYPOTHESIS DENSITY FILTER; MOTION ANALYSIS; PHD FILTERS; OBSERVABILITY; PERFORMANCE;

D O I：

10.1109/TAES.2013.6621859

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

The conventional GMPHD/CPHD filters require the PHD for target births to be a Gaussian mixture (GM), which is potentially inefficient because careful selection of the mixture parameters may be required to ensure good performance. Here we present approximations which allow part of the birth PHD to be uniformly distributed, obviating the need to use a large GM to model target births. The benefits of this approach are demonstrated by simulations on a bearings-only filtering scenario.

引用

页码：2835 / 2844

页数：10

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