Ad Hoc Networks. 11th EAI International Conference, ADHOCNETS 2019, Queenstown, New Zealand, November 18–21, 2019, Proceedings

Research Article

Improvement of a Single Node Indoor Localization System

  • @INPROCEEDINGS{10.1007/978-3-030-37262-0_17,
        author={Yang Li and Weixiao Meng and Yingbo Zhao and Shuai Han},
        title={Improvement of a Single Node Indoor Localization System},
        proceedings={Ad Hoc Networks. 11th EAI International Conference, ADHOCNETS 2019, Queenstown, New Zealand, November 18--21, 2019, Proceedings},
        proceedings_a={ADHOCNETS},
        year={2020},
        month={1},
        keywords={Single-node indoor localization Band splicing Direct search},
        doi={10.1007/978-3-030-37262-0_17}
    }
    
  • Yang Li
    Weixiao Meng
    Yingbo Zhao
    Shuai Han
    Year: 2020
    Improvement of a Single Node Indoor Localization System
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-030-37262-0_17
Yang Li1, Weixiao Meng1,*, Yingbo Zhao1, Shuai Han1
  • 1: Harbin Institute of Technology
*Contact email: wxmeng@hit.edu.cn

Abstract

With the development of wireless communication technologies and the Internet, the application scenarios of positioning technologies are becoming more and more abundant. Therefore, the demand for location-based services is increasing greatly. Moreover, due to the widespread deployment of commercial WIFI devices, a WIFI-based localization system is very promising. This paper focuses on the localization algorithms utilizing Channel State Information (CSI) based on a conventional MUSIC algorithm in a single-node indoor localization system. However, the conventional MUSIC algorithm searches all the peaks in spatial spectrum. It requires enormous computation and thus is unsuitable for accurate positioning applications. This paper is intended to improve the algorithm in terms of positioning accuracy and computational complexity. Numerical results show that the proposed algorithm can improve the positioning accuracy and reduce computational complexity.