Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings

Research Article

An Improved Quadratic Programming LLOP Algorithm for Wireless Localization

  • @INPROCEEDINGS{10.1007/978-3-030-00557-3_50,
        author={Guangzhe Liu and Jingyu Hua and Feng Li and Weidang Lu and Zhijiang Xu},
        title={An Improved Quadratic Programming LLOP Algorithm for Wireless Localization},
        proceedings={Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings},
        proceedings_a={MLICOM},
        year={2018},
        month={10},
        keywords={Wireless localization Linear line of position (LLOP) Quadratic programming Non-line-of-sight error},
        doi={10.1007/978-3-030-00557-3_50}
    }
    
  • Guangzhe Liu
    Jingyu Hua
    Feng Li
    Weidang Lu
    Zhijiang Xu
    Year: 2018
    An Improved Quadratic Programming LLOP Algorithm for Wireless Localization
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-00557-3_50
Guangzhe Liu1, Jingyu Hua1,*, Feng Li1, Weidang Lu1, Zhijiang Xu1
  • 1: Zhejiang University of Technology
*Contact email: eehjy@163.com

Abstract

With the rapid increasing of smart devices, wireless positioning technology has become a hot research area. Accordingly, this paper puts forward an optimization-based localization in the wireless network, in which both the quadratic programming (QP) and the principle of linear line of position (LLOP) are taken into account. Moreover, a two-step improvement is proposed to enhance the constrained optimization model, and the simulations demonstrate its effectiveness. Among the tested localization methods, the proposed algorithm performs the best in the non-line-of-sight (NLOS) propagating environment, and its estimating stability over original LLOP algorithm is also obviously observed.