DocumentCode :
2057816
Title :
LCRT: A ToA Based Mobile Terminal Localization Algorithm in NLOS Environment
Author :
Jiao, Lei ; Li, Frank Y. ; Xu, Zengyou
Author_Institution :
Dept. of Inf. & Commun. Technol., Univ. of Agder (UiA), Grimstad
fYear :
2009
fDate :
26-29 April 2009
Firstpage :
1
Lastpage :
5
Abstract :
Non line-of-sight (NLOS) propagation in range measurement is a key problem for mobile terminal localization. This paper proposes a low computational residual test (LCRT) algorithm that can identify the number of line-of-sight (LOS) transmissions and reduce the computational complexity compared with the residual test (RT) algorithm. LCRT is based on the assumption that when all range measurements are from LOS propagations, the normalized residual distribution follows the central chi-square distribution while for NLOS cases it is non-central. An optimized procedure to generate the sets of range measurements is adopted and least square (LS) instead of approximate maximum likelihood (AML) is used during the identification of LOS propagations, resulting in reduced computation complexity. Simulation results show that the LCRT can efficiently identify the set of LOS. The correct decision rate is higher than 92% and the variances of results are approaching to the Cramer-Rao lower bound (CRLB) when there are more than 3 LOS propagations.
Keywords :
computational complexity; least squares approximations; time-of-arrival estimation; wireless channels; Cramer-Rao lower bound; NLOS environment; chi-square distribution; computational complexity; least square; low computational residual test; mobile terminal localization; nonline-of-sight propagation; normalized residual distribution; time of arrival; Communications technology; Computational complexity; Computer vision; Information science; Least squares approximation; Line-of-sight propagation; Maximum likelihood detection; Maximum likelihood estimation; Testing; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th
Conference_Location :
Barcelona
ISSN :
1550-2252
Print_ISBN :
978-1-4244-2517-4
Electronic_ISBN :
1550-2252
Type :
conf
DOI :
10.1109/VETECS.2009.5073644
Filename :
5073644
Link To Document :
بازگشت