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A New RWLS Positioning Method Basing on Distance Information
Author(s) -
Hong Ding,
Lingling He,
Linhua Zheng,
Jibing Yuan,
Liangjun Xiang
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.07.087
Subject(s) - non line of sight propagation , ranging , computer science , reliability (semiconductor) , range (aeronautics) , distance measurement , identification (biology) , algorithm , ultra wideband , artificial intelligence , telecommunications , wireless , power (physics) , physics , materials science , botany , composite material , quantum mechanics , biology
In ultra-wideband (UWB) localization, the ranging precision will determine the localization performance directly. However not all the range measurements(RMs) have the same precision. In this paper, we propose a new weighted least square(WLS) positioning method, which will design the weighted values of each RM according to its reliability. We show the ranging reliability is closely related to the distance between the mobile station(MS) and anchor nodes(ANs). Moreover, if design each weighted value fusing distance with non-line-of-sight(NLOS) identification result, the localization performance will be enhanced. Simulation results show our method performs better than those commonly used WLS methods

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