Using exponential mixture models for suboptimal distributed data fusion

被引：0

作者：

Julier, Simon J. ^{[1
]}

Bailey, Tim ^{[2
]}

Uhlmann, Jeffrey K. ^{[3
]}

机构：

[1] UCL, Dept Comp Sci, Malet Pl, London WC1E 6BT, England

[2] Univ Sydney, Australian Ctr Field Robot, Sydney, NSW 2006, Australia

[3] Univ Missouri, Dept Comp Sci, Columbia, MO 65211 USA

来源：

NSSPW: NONLINEAR STATISTICAL SIGNAL PROCESSING WORKSHOP: CLASSICAL, UNSCENTED AND PARTICLE FILTERING METHODS | 2006年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper we investigate the use of Exponential Mixture Densities (EMDs) as suboptimal update rules for distributed data fusion. We show that EMDs have a pointwise bound "from below" on the minimum value of the probability distribution. However, the distributions are not bounded from above and thus can be interpreted as a fusion operation.

引用

页码：160 / +

页数：2

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