Comments on "A Gaussian approximation recursive filter for nonlinear systems with correlated noises" [Automatica 48 (2012) 2290-2297]

被引：20

作者：

Chang, Guobin ^{[1
]}

机构：

[1] Tianjin Inst Hydrog Surveying & Charting, Tianjin 300062, Peoples R China

来源：

AUTOMATICA | 2014年 / 50卷 / 02期

关键词：

Kalman filter; Correlated noises;

D O I：

10.1016/j.automatica.2013.12.018

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 note points out that the framework proposed in (Wang et al., 2012) is equivalent to the conventional de-coupling framework introduced in some textbooks; see e.g. (Bar-Shalom et al., 2001). (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：655 / 656

页数：2

共 5 条

[1]

[Anonymous], 1985, Matrix Analysis

[2]

Bar-Shalom Y., 2004, Estimation with applications to tracking and navigation: Theory algorithms and software

[3] Particle filtering with correlated measurement and process noise at the same time [J].

Chen, J. ;

Ma, L. .

IET RADAR SONAR AND NAVIGATION, 2011, 5 (07) :726-730

[4]

Simon D., 2006, Infinity and nonlinear approaches, DOI 10.1002/0470045345

[5] A Gaussian approximation recursive filter for nonlinear systems with correlated noises [J].

Wang, Xiaoxu ;

Liang, Yan ;

Pan, Quan ;

Yang, Feng .

AUTOMATICA, 2012, 48 (09) :2290-2297

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