摘要
为了消除H∞滤波应用过程中野值产生的影响,利用切比雪夫不等式判断新息中野值的存在,利用基于信息扩散原理的新息替代法对含有单个或连续野值的新息加以修正,达到检测和剔除野值的目的.通过对远程火箭弹的SINS/GPS组合导航的仿真可知新算法能够有效地检测出野值,并在野值单个或成片出现的情况下都能保证滤波精度.
The outliers in the observation values make the estimation of H∞ filtering inaccurate. A new algorithm for outliers restraining is brought forward. Chebyshev＇s inequality is used to detect outliers, and the method based on information pervasion theorem is used to correct the single outlier or series outliers. The simulation of SINS/GPS integrated navigation for the long- distance missile showed that the new algorithms can detect outliers effectively and ensure the precision of filtering exactly, and the improved algorithm performal well.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2009年第7期600-604,共5页
Transactions of Beijing Institute of Technology
基金
国家部委预研项目(51405030104BQ0171)
关键词
野值检测
野值剔除
切比雪夫不等式
信息扩散
新息修正
outliers detecting
outliers eliminating
Chebyshev＇s inequality
information pervasion
innovation revising
