Title
Localization Algorithm Design And Performance Analysis In Probabilistic Los/Nlos Environment
Abstract
Non-line-of-sight (NLOS) propagation, which widely exists in wireless systems, will degrade the performance of wireless positioning system if it is not taken into consideration in the localization algorithm design. The 3rd Generation Partnership Project (3GPP) suggests that the probabilities of line-of-sight (LOS) and NLOS are related to the distance between the receiver and the transmitter. In this paper, we propose a Maximum Likelihood Estimator (MLE) for localization, which incorporates the distance dependent LOS/NLOS probabilities. Then, the position error bound is derived using Cramer-Rao Lower Bound (CRLB). Through numerical analysis, the impact of NLOS propagation on the position error bound is evaluated. The performance of our proposed algorithm is verified by real world experimental data.
Year
DOI
Venue
2016
10.1109/ICC.2016.7510963
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Field
DocType
ISSN
Cramér–Rao bound,Non-line-of-sight propagation,Transmitter,Algorithm design,Wireless,Upper and lower bounds,Computer science,Algorithm,Real-time computing,Probabilistic logic,Statistics,Observational error
Conference
1550-3607
Citations 
PageRank 
References 
2
0.37
13
Authors
4
Name
Order
Citations
PageRank
Xiufang Shi1819.86
Guoqiang Mao22474156.87
Zaiyue Yang3253.48
Jiming Chen44389238.91