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An Improved Constrained Least Squares Localization Algorithm in NLOS Propagating Environment

  • Yejia Yin
  • Jingyu Hua
  • Fangni Chen
  • Weidang Lu
  • Dongming Wang
  • Jiamin Li
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 251)

Abstract

The non-line-of-sight (NLOS) error is a major error source in wireless localization. Therefore, an improved constrained least-squares (CLS) algorithm is put forward to tackle this issue, where the positioning problem is formulated as a mathematical programming problem. And then, the cost function of the optimization is studied and a new one is proposed. Finally, through the presented optimization, we try to minimize the positioning influence of NLOS errors. Moreover, the studied method does not depend on a particular distribution of the NLOS error. Simulation results show that the positioning accuracy is significantly improved over traditional CLS algorithms, even under highly NLOS conditions.

Keywords

Wireless localization Non-line-of-sight error Constrained least squares Time of arrival 

Notes

Acknowledgement

This paper was sponsored by the National NSF of China No.61471322.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Yejia Yin
    • 1
  • Jingyu Hua
    • 1
  • Fangni Chen
    • 1
  • Weidang Lu
    • 1
  • Dongming Wang
    • 2
  • Jiamin Li
    • 2
  1. 1.College of Information EngineeringZhejiang University of TechnologyHangzhouChina
  2. 2.National Mobile Communications Research LaboratorySoutheast UniversityNanjingChina

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