NLOS error mitigation for mobile location estimation in wireless networks

Kegen Yu*, Y. Jay Guo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

34 Citations (Scopus)

Abstract

Most radio positioning methods are based on the measurements of distance between different wireless nodes. Owing to the existence of non-line-of-sight (NLOS) radio propagation, unfortunately, not all the measured distances are reliable. One way to tackle the problem of positioning is therefore to take two-steps: (i) identifying the NLOS measurements; (ii) smart signal processing of the mixed LOS and NLOS measurements. This paper is focused on the second issue. Under the assumption that the NLOS measurements have been identified, we first propose a simple method to suppress the effect of the NLOS error. Simulation results demonstrate that the proposed method achieves similar or better accuracy than several other known methods and the computational complexity is reduced considerably. We also present an optimal location estimator under the assumption of Gaussian distributed measurement noise and Rayleigh distributed NLOS error. Although it is difficult to achieve the optimal performance in practice due to modeling uncertainties, the optimal estimator provides a performance benchmark.

Original languageEnglish
Title of host publication2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1071-1075
Number of pages5
ISBN (Print)1424402662, 9781424402663
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring - Dublin, Ireland
Duration: 22 Apr 200725 Apr 2007

Other

Other2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring
CountryIreland
CityDublin
Period22/04/0725/04/07

Keywords

  • Mobile location
  • NLOS error mitigation
  • Optimal estimator
  • Taylor-series LS estimator
  • Wireless networks

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