标题:Non-line of sight error mitigation in UWB ranging systems using information fusion
作者:Jiang, Xiangyuan ;Zhang, Huanshui
通讯作者:Jiang, X
作者机构:[Jiang, Xiangyuan ;Zhang, Huanshui ] School of Control Science and Engineering, Shandong University, Jingshi Road 73, Jinan 250061, China
会议名称:2011 International Conference on Electric and Electronics, EEIC 2011
会议日期:20 June 2011 through 22 June 2011
来源:Lecture Notes in Electrical Engineering
出版年:2011
卷:97 LNEE
期:VOL. 1
页码:969-976
DOI:10.1007/978-3-642-21697-8_124
关键词:Biased Kalman filter; Information fusion; Maximum likelihood estimation; NLOS mitigation; UWB ranging system
摘要:An information fusion(IF) smoother based on biased Kalman filtering(BKF) and maximum likelihood estimation(MLE) is proposed for ranging error mitigation with both time of arrival(TOA) and received signal strength(RSS) measurement data in IEEE 802.15.4a protocol to improve the ranging accuracy. In this study, the line of sight(LOS) and non-line of sight(NLOS) condition in ultra-wide band(UWB) sensor network is identified by a joint hypothesis test with residual variance of TOA measurement and maximum likelihood ratio of RSS measurement. Then an information fusion smoother is proposed to accurately estimate the ranging measurement corrupted by NLOS error. Simulation results show that proposed hybrid TOA-RSS information fusion approach indicates a performance improvement compared with the usual TOA-only method. © 2011 Springer-Verlag Berlin Heidelberg.
收录类别:EI;SCOPUS
Scopus被引频次:1
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-s2.0-79961181881&doi=10.1007%2f978-3-642-21697-8_124&partnerID=40&md5=a18af305259582bb4a1ca06d3a7a8da9
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