A recursive update cubature Kalman filter

被引：0

作者：

Zhang, Yonggang ^{[1
]}

Wang, Gang ^{[1
]}

Li, Ning ^{[1
]}

机构：

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

来源：

PROCEEDINGS OF THE 2015 2ND INTERNATIONAL WORKSHOP ON MATERIALS ENGINEERING AND COMPUTER SCIENCES (IWMECS 2015) | 2015年 / 33卷

关键词：

Recursive update; cubature Kalman filter; iterate cubature Kalman filter; GAUSSIAN FILTERS;

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 investigates the use of recursive update and proposes a recursive update cubature Kalman filter (RUCKF). Merit of recursive update is a better assimilation of measurement information and realization of nonlinear update on the state. The proposed algorithm is shown to achieve superior performance in terms of efficiency and accuracy when compared to cubature Kalamn filter (CKF), iterated cubature Kalman filter (ICKF) and recursive update filter based on extended Kalman filter (RUF). Illustrative simulation has been provided to prove this conclusion.

引用

页码：454 / 459

页数：6

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