首页|MLSI-RT: memorize LOS range measurements identified residual test location algorithm and performance analysis

MLSI-RT: memorize LOS range measurements identified residual test location algorithm and performance analysis

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The dominant error source of mobile terminal location in wireless sensor networks (WSNs) is the non-line-of-sight (NLOS) propagation error. Among the algorithms proposed to mitigate the influence of NLOS propagation error, residual test (RT) is an efficient one, however with high computational complexity (CC). An improved algorithm that memorizes the light of sight (LOS) range measurements (RMs) identified memorize LOS range measurements identified residual test (MLSI-RT)is presented in this paper to address this problem. The MLSI-RT is based on the assumption that when all RMs are from LOS propagations, the normalized residual follows the central Chi-Square distribution while for NLOS cases it is non-central.This study can reduce the CC by more than 90%.

memorize LOS range measurements identified residual test (MLSI-RT)computational complexity (CC)nonline-of-sight (NLOS)residual test (RT) algorithmsimplified residual test (SRT)

MA Bing、XING Jian-ping、ZHANG Jun

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School of Information Science and Engineering, Shandong University, Jinan 250100, P. R. China

School of Electronics Information Engineering, Beihang University, Beijing 100190, P. R. China

State Key Program of National Natural Science of ChinaNew Century Excellent Talents in UniversityNatural Science Foundation of Shandong Province

60532030NCET-08-0333Y2007G10

2011

10.1007/s11741-011-0719-1

上海大学学报(英文版)
上海大学

上海大学学报(英文版)

影响因子：0.196
ISSN：1007-6417
年,卷(期)：2011.15(3)
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