| 引用本文: | 胡 峰,范金城.动态测量系统的有界影响滤波[J].控制理论与应用,1993,10(1):36~45.[点击复制] |
| HU Fong,FAN Jincheng.The Bounded Influence Filters for Dynamic-Measurement Systems[J].Control Theory and Technology,1993,10(1):36~45.[点击复制] |
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| 动态测量系统的有界影响滤波 |
| The Bounded Influence Filters for Dynamic-Measurement Systems |
| 摘要点击 767 全文点击 384 投稿时间：1991-05-24 修订日期：1992-03-18 |
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| DOI编号 |
| 1993,10(1):36-45 |
| 中文关键词 动态测量系统 异常数据 抗干扰性 滤波 |
| 英文关键词 dynamic measurement systems outlier resistance analysis filter |
| 基金项目 |
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| 中文摘要 |
| 如何克服Kalman滤波对采样观测值中包含的异常数据的敏感性？这在状态估计的抗扰性分析中处重要位置。本文基于新息增量过程，引进了一个相当大的滤波族，称为W滤波族。为了控制异常数制据对滤波估计的影响，本文主要关心它的一个有界影响子族，并给出在预定的影响界限制下的最优有界影响滤波族的*函数形式。 |
| 英文摘要 |
| How to overcome the sensitivity of the Kalman filters to outliers in samples? Much attention is paid to, for this question, in resistance analysis of state estimator. Based on an innovation process, a quite large filter class, which is called W-filter class, is reasonably constructed in this paper. In order to control breakdown influence of outliers to state filtering, we mianly deal with a bounded-influence subset, and find out the optimal * functions, under some constraints about the bound of influences. |
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