自适应卡尔曼滤波的最新进展 |
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引用本文: | 符拯,王书满,刘丙杰. 自适应卡尔曼滤波的最新进展[J]. 战术导弹技术, 2009, 0(6): 62-66 |
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作者姓名: | 符拯 王书满 刘丙杰 |
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作者单位: | [1]海军驻中国航天科工集团第三研究院军事代表室,北京100074 [2]海军装备研究院,北京100161 [3]海军潜艇学院,青岛266071 |
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摘 要: | 对自适应卡尔曼滤波最新发展的几个分支进行了讨论:相关自适应卡尔曼滤波、多模型自适应卡尔曼滤波、基于信息的自适应卡尔曼滤波、神经网络自适应卡尔曼滤波、模糊逻辑自适应卡尔曼滤波,并对它们主要解决的问题及优缺点进行了分析.提出了一种神经网络自适应卡尔曼滤波器,以及自适应卡尔曼滤波器的发展方向.
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关 键 词: | 自适应卡尔曼滤波 多模型估计 神经网络 模糊逻辑 |
An Overview of the Development of Adaptive Kalman Filtering |
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Affiliation: | Fu Zheng, Wang Shuman, Liu Bingjie (1. Navy Military Deputy Office Residence In The Third Research Institute, Beijing 100074, China; 2. Naval Academy of Armament, Beijing 100161 ,China; 3. Navy Submarine Academy, Qingdao 266071, China) |
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Abstract: | The development of adaptive Kalman filtering(AKF) is overviewed.Several approaches of AKF are discussed: correlation AKF,multiple model AKF,AKF based on innovation,neural network AKF,and fuzzy logic AKF.The main questions are solved respectively by them.At last,the direction of AKF is presented. |
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Keywords: | adaptive Kalman filtering multiple model estimation neural network fuzzy logic |
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