标题:A Robust Non-Line-Of-Sight Error Mitigation Method in Mobile Position Location
作者:Chen, Sumei; Liu, Ju; Xue, Lin
通讯作者:Chen, S.
作者机构:[Chen, Sumei; Liu, Ju; Xue, Lin] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.
会议名称:6th International Symposium on Neural Networks
会议日期:MAY 26-29, 2009
来源:ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 3, PROCEEDINGS
出版年:2009
卷:5553
期:PART 3
页码:162-170
DOI:10.1007/978-3-642-01513-7_18
关键词:NLOS; residual; Kalman filter; orthogonal polynomial
摘要:A novel non-line-of-sight (NLOS) error identification and range measurement reconstruction algorithm is proposed. First, a NLOS error identification techniques is exploited to decided whether there is a NLOS path from the base station (BS) to the mobile station (MS); Second, a biased Kalman filter (KF) is used to mitigate NLOS error in the raw measurements; and then, two measuring points which have maximum residual (so-called the upper dead point and the lower dead point) are investigated to suppress the NLOS error as well as measurement noise. Under the assumption that the NLOS range measurements have been identified, we propose an orthogonal polynomial to smooth the range measurements estimated by KF and a range measurement reconstruction model to suppress NLOS error. Simulations verify its effectiveness to true range reconstruction as well as location tracking in NLOS environment.
收录类别:CPCI-S;EI;SCOPUS
WOS核心被引频次: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-s2.0-69849096632&doi=10.1007%2f978-3-642-01513-7_18&partnerID=40&md5=2ade20c95c2147ffaf0350b73e7f5139
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