Title
Geometry-based non-line-of-sight error mitigation and localization in wireless communications
Abstract
Recently, positioning services have received considerable attention. The primary source of the positioning error is non-line-of-sight (NLOS) propagation. To address this problem, we propose a novel NLOS mitigation scheme, in which the geometric relationship between a base station and a mobile station is used. This makes it possible to identify range measurements corrupted by NLOS errors, and the mobile station can then estimate its position through line-of-sight (LOS) measurements. Moreover, the threshold of the NLOS detector is derived via a hybrid method using both the analytical derivation and computer simulation, which significantly reduces the difficulty of identifying thresholds. After identifying the NLOS measurements, a two-step weighted-least-squares algorithm is used to obtain the localization, in which both range and angle measurements are considered. The simulation results reveal that the proposed algorithm yields a high identification probability of NLOS measurements, which results in improved localization performance.
Year
DOI
Venue
2019
10.1007/s11432-019-9909-5
Science China Information Sciences
Keywords
DocType
Volume
wireless localization, non-line-of-sight error, geometry, cellular network, residual
Journal
62
Issue
ISSN
Citations 
10
1674-733X
1
PageRank 
References 
Authors
0.35
0
5
Name
Order
Citations
PageRank
Jingyu Hua110133.21
Yejia Yin210.35
Anding Wang3567.00
Yu Zhang429498.00
Weidang Lu530955.86