Title | ||
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Geometry-based non-line-of-sight error mitigation and localization in wireless communications |
Abstract | ||
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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 |
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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 Hua | 1 | 101 | 33.21 |
Yejia Yin | 2 | 1 | 0.35 |
Anding Wang | 3 | 56 | 7.00 |
Yu Zhang | 4 | 294 | 98.00 |
Weidang Lu | 5 | 309 | 55.86 |