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Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 – December 1, 2019, Proceedings, Part I

Research Article

Robust RSS-Based Localization in Mixed LOS/NLOS Environments

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  • @INPROCEEDINGS{10.1007/978-3-030-41114-5_49,
        author={Yinghao Sun and Gang Wang and Youming Li},
        title={Robust RSS-Based Localization in Mixed LOS/NLOS Environments},
        proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part I},
        proceedings_a={CHINACOM},
        year={2020},
        month={2},
        keywords={Source localization Received signal strength (RSS) Line-of-sight/non-line-of-sight (LOS/NLOS) Robust weighted least squares (RWLS) Semidefinite relaxation (SDR)},
        doi={10.1007/978-3-030-41114-5_49}
    }
    
  • Yinghao Sun
    Gang Wang
    Youming Li
    Year: 2020
    Robust RSS-Based Localization in Mixed LOS/NLOS Environments
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-41114-5_49
Yinghao Sun1, Gang Wang1,*, Youming Li1
  • 1: Faculty of Electrical Engineering and Computer Science, Ningbo University
*Contact email: wanggang@nbu.edu.cn

Abstract

In this paper, we propose a robust received signal strength (RSS) based localization method in mixed line-of-sight/non-line-of-sight (LOS/NLOS) environments, where additional path losses caused by NLOS signal propagations are included. Considering that the additional path losses vary in a dramatic range, we express the additional path losses as the sum of a balancing parameter and some error terms. By doing so, we formulate a robust weighted least squares (RWLS) problem with the source location and the balancing parameter as unknown variables, which is, simultaneously, robust to the error terms. By employing the S-Lemma, the RWLS problem is transformed into a non-convex optimization problem, which is then approximately solved by applying the semidefinite relaxation (SDR) technique. The proposed method releases the requirement of knowing specific information about the additional path losses in the previous study. Simulation results show that the proposed method works well in both dense and sparse NLOS environments.

Keywords
Source localization Received signal strength (RSS) Line-of-sight/non-line-of-sight (LOS/NLOS) Robust weighted least squares (RWLS) Semidefinite relaxation (SDR)
Published
2020-02-27
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-41114-5_49
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