Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

Research Article

A Non-line-of-Sight Localization Method Based on the Algorithm Residual Error Minimization

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  • @INPROCEEDINGS{10.1007/978-3-319-73564-1_11,
        author={Sunan Li and Jingyu Hua and Feng Li and Fangni Chen and Jiamin Li},
        title={A Non-line-of-Sight Localization Method Based on the Algorithm Residual Error Minimization},
        proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I},
        proceedings_a={MLICOM},
        year={2018},
        month={2},
        keywords={Wireless localization Non-line-of-sight error Algorithm residuals Quadratic programming},
        doi={10.1007/978-3-319-73564-1_11}
    }
    
  • Sunan Li
    Jingyu Hua
    Feng Li
    Fangni Chen
    Jiamin Li
    Year: 2018
    A Non-line-of-Sight Localization Method Based on the Algorithm Residual Error Minimization
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73564-1_11
Sunan Li1, Jingyu Hua1,*, Feng Li1, Fangni Chen, Jiamin Li2
  • 1: Zhejiang University of Technology
  • 2: Southeast University
*Contact email: eehjy@163.com

Abstract

Wireless localization has become a key technology location based services, and the non-line-of-sight (NLOS) propagation is one of the most important error source in the localization. Therefore, this paper defines a novel algorithm residual error (ARE) in NOLS environment, and estimates the position of mobile station (MS) by minimizing this ARE, where the quadratic programming is employed to solve the minimization problem. The simulation results show that the proposed algorithm produces significant performance improvements in NLOS environments.