Filter algorithm of bayesian state estimation using FFT

被引：0

作者：

Sun, F ^{[1
]}

Wang, SF ^{[1
]}

Xu, YQ ^{[1
]}

Hao, YL ^{[1
]}

机构：

[1] Harbin Engn Univ, Automat Coll, Harbin 150001, Peoples R China

来源：

PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年

关键词：

bayesian state estimation; fast fourier transform(FFT); filter algorithm; nonlinear stochatis system;

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, a filter algorithm of bayesain state estimation using fast fourier transform(FFT) is proposed. The computation is reduced by using FFT. The simulation result shows that the algorithm is a very robust nonlinear filter algorithm.

引用

页码：2254 / 2256

页数：3

共 5 条

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[5] RECURSIVE BAYESIAN-ESTIMATION USING PIECE-WISE CONSTANT APPROXIMATIONS
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SORENSON, HW
[J]. AUTOMATICA, 1988, 24 (06) : 789 - 801

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