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卡尔曼滤波计算方法研究进展
引用本文:张友民,戴冠中,张洪才.卡尔曼滤波计算方法研究进展[J].控制理论与应用,1995,12(5):529-538.
作者姓名:张友民  戴冠中  张洪才
作者单位:西北工业大学自动控制系
摘    要:本文简要回顾了卡尔曼滤波研究的发展历程,重点对卡尔曼滤波及其在改善数值稳定性,提高计算效率等数值计算方面的研究与发展进行了综述,对QR分解,U-D分解,奇异值分解等在卡尔曼滤波,状态与偏差分离波及并行滤波与分散滤波等方面应用的新进展作了介绍。

关 键 词:卡尔曼滤波  滤波  计算方法
收稿时间:1994/8/16 0:00:00
修稿时间:1995/3/29 0:00:00

The New Development of Kalman Filtering Algorithms
ZHANG Youmin,DAI Guanzhong and ZHANG Hongcai.The New Development of Kalman Filtering Algorithms[J].Control Theory & Applications,1995,12(5):529-538.
Authors:ZHANG Youmin  DAI Guanzhong and ZHANG Hongcai
Affiliation:Department of Automatic Control, Northwestern Polytechnical University
Abstract:Focused on the numerical stability, computational efficiency of Kalman filtering algorithms,the development history of Kalman filtering algorithms are briefly reviewed,and a series of numerical stable and robust,computational efficient Kalman filtering algorithms are summarized in this paper. The new factorized-based filter, partitioned filter and bias-separated filter, parallel and decentralized filter algorithms, which is based on the oR decomposition, U-D decomposition and singular value decomposition (SVD),are presented. Some problems which are worthy to be further studied in this field are presented.
Keywords:Kalman filter  factorized-based filter  partitioned filter and bias-separated filter  parallel and decentralized filter  
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