标题:Wavelet Multi-Resolution Analysis Aided Adaptive Kalman Filter for SINS/GPS Integrated Navigation in Guided Munitions
作者:Cai, Lei; Kong, Fancheng; Chang, Faliang; Zhang, Xuexia
通讯作者:Cai, L
作者机构:[Cai, Lei; Chang, Faliang] Shandong Univ, Coll Control Sci & Engn, Jinan 250061, Peoples R China.; [Kong, Fancheng] Xu Zhou AF Coll, Aviat Ammunit D 更多
会议名称:3rd International Conference on Artificial Intelligence and Computational Intelligence (AICI 2011)
会议日期:SEP 23-25, 2011
来源:ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT II
出版年:2011
卷:7003
期:PART 2
页码:455-462
DOI:10.1007/978-3-642-23887-1_58
关键词:Wavelet multi-resolution analysis; integrated navigation; adaptive; Kalman filter; GPS/SINS
摘要:SINS/GPS integrated navigation requires solving a set of nonlinear equations. In this case, the new method based on wavelet multi-resolution analysis (WMRA) aided adaptive Kalman filter (AKF) for SINS / GPS integration for aircraft navigation are proposed to perform better than the classical. The WMRA is used to compare the SINS and GPS position outputs at different resolution levels. These differences represent, in general, the SINS errors, which are used to correct for the SINS outputs during GPS outages. The proposed scheme combines the estimation capability of AKF and the learning capability of WMRA thus resulting in improved adaptive and estimation performance. The simulations show that good results in SINS/GPS positioning accuracy can be obtained by applying the new method based on WMRA and AKF.
收录类别:CPCI-S;EI;SCOPUS
WOS核心被引频次:2
Scopus被引频次:2
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054700757&doi=10.1007%2f978-3-642-23887-1_58&partnerID=40&md5=50926ad97b6fe81875bf2c60078f1343
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