| 自适应滤波技术的研究 |
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| 引用本文： | 苏建峰,吴海涛,边玉敬.自适应滤波技术的研究[J].飞行器测控学报,2006,25(2):71-74. |
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| 作者姓名： | 苏建峰 吴海涛 边玉敬 |
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| 作者单位： | 中科院国家授时中心，中科院国家授时中心，中科院国家授时中心 陕西临潼710600，中国科学院研究生院北京100039，陕西临潼710600，陕西临潼710600 |
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| 基金项目： | 国家自然科学基金资助课题(批准号:10443001) |
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| 摘 要： | 应用常规卡尔曼滤波器(KF)要求知道系统精确的数学模型和系统噪声与量测噪声的统计特性,才能获得理想的滤波效果,否则可能产生发散现象。人们越来越倾向于利用自适应滤波(AKF)技术来解决发散的问题。针对AKF技术的研究现状,本文探讨一种结构简单、实时性较强、工程上比较实用的AKF算法。仿真结果表明,这种算法具有较强的自适应性,为一种实用而有效的滤波方法。
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| 关 键 词： | 自适应滤波 滤波发散 渐消因子 仿真 |
| 收稿时间： | 2005-10-13 |
| 修稿时间： | 2005-11-28 |
Research on Adaptive Filtering Technology |
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| SU Jian-feng.Research on Adaptive Filtering Technology[J].Journal of Spacecraft TT&C Technology,2006,25(2):71-74. |
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| Authors: | SU Jian-feng |
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| Institution: | 1. National Time Service Center, the Chinese Academy of Sciences, Lintong, Shaanxi Province 710600 ; 2. The Graduate School of the Chinese Academy of Sciences, Beijing 10039 |
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| Abstract: | Knowledge of an accurate mathematical model and the statistical characteristics of system noise and measuring noise is required to get a desired filtering effect during use of conventional Kalman filters.Otherwise,it will result in diffusion.Therefore,adaptive Kalman filter technology is more and more used.This paper proposes a practical adaptive Kalman filter algorithm featuring simplified architecture and powerful realtime performance.Simulation results show that the algorithm is highly adaptive and is a practical and effective filtering method. |
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| Keywords: | Adaptive Filter Technology Filter Divergence Fading Factor Simulation |
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