| 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.[点击复制] |
| ZHANG Youmin, DAI Guanzhong and ZHANG Hongcai.The New Development of Kalman Filtering Algorithms[J].Control Theory and Technology,1995,12(5):529~538.[点击复制] |
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| 卡尔曼滤波计算方法研究进展 |
| The New Development of Kalman Filtering Algorithms |
| 摘要点击 1434 全文点击 527 投稿时间：1994-08-16 修订日期：1995-03-29 |
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| DOI编号 |
| 1995,12(5):529-538 |
| 中文关键词 卡尔曼滤波 因式分解滤波 状态与偏差分离滤波 并行与分散滤波 |
| 英文关键词 Kalman filter factorized-based filter partitioned filter and bias-separated filter parallel and decentralized filter |
| 基金项目 |
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| 中文摘要 |
| 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（SVD）等在卡尔曼滤波，状态与偏差分离滤波及并行滤波与分散滤波等方面应用的新进展作了介绍。 |
| 英文摘要 |
| 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 QR 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. |
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