引用本文:邓自立,罗秋滨.分离随机偏差两段解耦Wiener滤波器[J].控制理论与应用,2002,19(5):755~758.[点击复制]
Deng Zi-li,Luo Qiu-bin.Separate stochastic bias two-stage decoupled wiener filters[J].Control Theory and Technology,2002,19(5):755~758.[点击复制]
分离随机偏差两段解耦Wiener滤波器
Separate stochastic bias two-stage decoupled wiener filters
摘要点击 1171  全文点击 1311  投稿时间:2000-02-21  修订日期:2001-02-26
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DOI编号  10.7641/j.issn.1000-8152.2002.5.019
  2002,19(5):755-758
中文关键词  随机偏差  输入偏差  传感器偏差  分离偏差滤波器  两段解耦Wiener滤波器
英文关键词  stochastic bias  input bias  sensor bias  separate bias filters  two-stage decoupled Wiener filters
基金项目  国家自然科学基金(69774019); 黑龙江省自然科学基金(F01-15)资助项目.
作者单位E-mail
邓自立 黑龙江大学应用数学研究所, 哈尔滨150080 dzl@hlju.edu.cn  
罗秋滨 哈尔滨学院计算机系 哈尔滨150086  
中文摘要
      应用现代时间序列分析方法, 基于ARMA新息模型和Wiener状态滤波器, 对带随机偏差系统首次提出了分离随机偏差两段解耦Wiener滤波器, 形成了一种新的偏差处理技术. 同传统的两段Kalman滤波器相比, 具有如下优点: 1)可统一处理滤波、平滑和预报问题; 2)避免了Riccati方程的计算; 3)具有最优性和渐近稳定性; 4)实现了完全解耦; 5)便于实时应用. 两个仿真例子说明了其有效性.
英文摘要
      Using the modern time series analysis method,based on the ARMA innovation model and Wiener state filters,the separate stochastic bias two-stage decoupled Wiener filters are presented for the first time for systems with stochastic bias, which formed a new technique for treatment of bias.Compared to the classical two-stage Kalman filters,they have the following advantages: 1) they can handle the filtering,smoothing,and prediction problems in a unified framework; 2) the computation of the Riccati equations is avoided; 3) they have the optimality and asymptotic stability; 4) the complete decouple is implemented; 5) they are suitable for real time applications.Two simulation examples show their effectiveness.