Cubature Information Filter and its Applications

被引：0

作者：

Pakki, Kumar ^{[1
]}

Chandra, Bharani ^{[1
]}

Gu, Da-Wei ^{[1
]}

Postlethwaite, Ian ^{[2
]}

机构：

[1] Univ Leicester, Control & Instrumentat Grp, Leicester LE1 7RH, Leics, England

[2] Northumbria Univ, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England

来源：

2011 AMERICAN CONTROL CONFERENCE | 2011年

关键词：

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：

This paper presents a new estimation algorithm called cubature information filtering for nonlinear systems. The proposed algorithm is developed from an extended information filter and a recently developed cubature Kalman filter. Unlike the extended Kalman filter, the proposed filter does not require the evaluation of Jacobians during state estimation. The efficacy of the proposed algorithm is demonstrated by simulation examples on frequency demodulation and localization problem and is compared with unscented information filtering.

引用

页码：3609 / 3614

页数：6

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