| 非线性系统中卡尔曼滤波的一种新线性化方法 |
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| 引用本文： | 孙红星,李德仁.非线性系统中卡尔曼滤波的一种新线性化方法[J].武汉大学学报(信息科学版),2004,29(4):346-348,358. |
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| 作者姓名： | 孙红星 李德仁 |
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| 作者单位： | 1. 武汉大学遥感信息工程学院,武汉市珞喻路129号,430079
2. 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079 |
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| 基金项目： | 国家自然科学基金资助项目 (4 0 0 2 3 0 0 4) |
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| 摘 要： | 针对测量领域非线性系统卡尔曼滤波的线性化，在分析两种传统线性化方式的基础上．提出了一种新的基于最优估计值的线性化方式。
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| 关 键 词： | 卡尔曼滤波 测量 线性化 GPS |
| 文章编号： | 1671-8860(2004)04-0346-03 |
A New Linearization Method for the Kalman Filter in Nonlinear System |
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| SUN Hongxing,LI Deren.A New Linearization Method for the Kalman Filter in Nonlinear System[J].Geomatics and Information Science of Wuhan University,2004,29(4):346-348,358. |
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| Authors: | SUN Hongxing LI Deren |
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| Institution: | SUN Hongxing 1 LI Deren 2 |
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| Abstract: | For the nonlinear system Kalman filter in surveying field, this paper proposes a new linearization method, after the analysis of two common linearization methods. By this method, the error of linearization is similar to extended Kalman filter. Furthermore, the linear observation equation is the same to the least square method, so the comparison between Kalman filter and least square can be done during the data processing, which is helpful to the precision analysis and quality control of the positioning. Especially for GPS positioning, the linear filter equations are listed. |
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| Keywords: | Kalman filter linearization GPS |
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