An efficient geometry-constrained location estimation algorithm for NLOS environments

Chao Lin Chen*, Kai-Ten Feng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

38 Scopus citations

Abstract

Mobile location estimation has attracted a significant amount of attention in recent years. The network-based location estimation schemes have been widely adopted based on the radio signals between the mobile device and the base stations. The two-step Least Square (LS) method has been studied in related research to provide efficient location estimation of the mobile devices. However, the algorithm results in inaccurate location estimation with the existence of the Non-Line-Of-Sight (NLOS) errors. A Geometry-constrained Location Estimation (GLE) algorithm is proposed in this paper with the consideration of different geometric layouts between the mobile device and its associated base stations. In order to enhance the precision of the location estimate, the GLE scheme is designed to incorporate the geometric constraints within the formulation of the two-step LS method. The proposed GLE scheme can both preserve the computational efficiency from the two-step LS algorithm and obtain precise location estimation under NLOS environments. Numerical results demonstrate that the proposed GLE algorithm can achieve better accuracy, comparing with other existing schemes, in mobile location estimation.

Original languageEnglish
Title of host publication2005 International Conference on Wireless Networks, Communications and Mobile Computing
Pages244-249
Number of pages6
DOIs
StatePublished - 1 Dec 2005
Event2005 International Conference on Wireless Networks, Communications and Mobile Computing - Maui, HI, United States
Duration: 13 Jun 200516 Jun 2005

Publication series

Name2005 International Conference on Wireless Networks, Communications and Mobile Computing
Volume1

Conference

Conference2005 International Conference on Wireless Networks, Communications and Mobile Computing
CountryUnited States
CityMaui, HI
Period13/06/0516/06/05

Keywords

  • Angle-Of-Arrival (AOA)
  • Location estimation
  • Non-Line-Of-Sight (NLOS) errors
  • Time-Of-Arrival (TOA)
  • Two-step least square method

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  • Cite this

    Chen, C. L., & Feng, K-T. (2005). An efficient geometry-constrained location estimation algorithm for NLOS environments. In 2005 International Conference on Wireless Networks, Communications and Mobile Computing (pp. 244-249). [1549417] (2005 International Conference on Wireless Networks, Communications and Mobile Computing; Vol. 1). https://doi.org/10.1109/WIRLES.2005.1549417