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Geometry-based non-line-of-sight error mitigation and localization in wireless communications

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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.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 61471322) and Open Project of Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, Zhejiang, China.

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Correspondence to Jingyu Hua.

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Hua, J., Yin, Y., Wang, A. et al. Geometry-based non-line-of-sight error mitigation and localization in wireless communications. Sci. China Inf. Sci. 62, 202301 (2019). https://doi.org/10.1007/s11432-019-9909-5

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Keywords

  • wireless localization
  • non-line-of-sight error
  • geometry
  • cellular network
  • residual