Finite precision effect on performance and complexity of particle filters for bearing-only tracking

被引：0
|
作者：
Bolic, M [1 ]
Hong, SJ [1 ]
Djuric, PM [1 ]
机构：
[1] SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA
来源：
THIRTY-SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS - CONFERENCE RECORD, VOLS 1 AND 2, CONFERENCE RECORD | 2002年
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D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper complexity reduction of particle filters and their performance due to finite precision effects are investigated. A method for dynamic range scaling of importance weights is proposed as well as ways for its integration with computation of the weights. Functions are approximated in a way to mitigate dynamic range scaling problems. To reduce complexity, redundant operations of particle filters are identified and particle filters are correspondingly modified. We consider the sample importance resampling (SIR) method of particle filtering applied to the bearings-only tracking problem.
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页码：838 / 842
页数：5
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