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Wireless Communications and Mobile Computing
Volume 2019, Article ID 2707469, 8 pages
Research Article

Probability Weighting Localization Algorithm Based on NLOS Identification in Wireless Network

Information Science and Engineering College, Chongqing Jiaotong University, No. 66 Xuefu Road, Nan’an Dist, Chongqing 400074, China

Correspondence should be addressed to Shixun Wu; moc.361@333nuxihsuw

Received 22 November 2018; Revised 17 February 2019; Accepted 4 March 2019; Published 28 March 2019

Guest Editor: Mohamed Laaraiedh

Copyright © 2019 Shixun Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In this paper, a localization scenario that the home base station (BS) measures time of arrival (TOA) and angle of arrival (AOA) while the neighboring BSs only measure TOA is investigated. In order to reduce the effect of non-line of sight (NLOS) propagation, the probability weighting localization algorithm based on NLOS identification is proposed. The proposed algorithm divides these range and angle measurements into different combinations. For each combination, a statistic whose distribution is chi-square in LOS propagation is constructed, and the corresponding theoretic threshold is derived to identify each combination whether it is LOS or NLOS propagation. Further, if those combinations are decided as LOS propagation, the corresponding probabilities are derived to weigh the accepted combinations. Simulation results demonstrate that our proposed algorithm can provide better performance than conventional algorithms in different NLOS environments. In addition, computational complexity of our proposed algorithm is analyzed and compared.