TOA localization using RSS weight with path loss exponents estimation in NLOS environments

Toshihiro Mogi, Tomoaki Ohtsuki

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

11 Citations (Scopus)

Abstract

This paper proposes a localization algorithm that needs no priori knowledge about path loss exponents for non-line-of sight (NLOS) environments. The proposed algorithm utilizes both time-of-arrival (TOA) measurements and received-signal-strength (RSS) measurements. In the proposed localization algorithm the distances estimated with TOA measurements are weighted by the believable factor (BF) derived from the difference between the estimated distance with TOA measurements and that with RSS ones. In addition the path loss exponents are estimated for each node in a maximum likelihood (ML) manner. Simulation results show that the proposed algorithm can efficiently reduce the effect of NLOS error and achieve higher localization accuracy than the other conventional algorithms, TOA, RSS, and BF ones, without priori knowledge about the path loss exponents. copyright

Original languageEnglish
Title of host publication2008 14th Asia-Pacific Conference on Communications, APCC 2008
Publication statusPublished - 2008 Dec 1
Event2008 14th Asia-Pacific Conference on Communications, APCC 2008 - Akihabara, Tokyo, United States
Duration: 2008 Oct 142008 Oct 16

Publication series

Name2008 14th Asia-Pacific Conference on Communications, APCC 2008

Other

Other2008 14th Asia-Pacific Conference on Communications, APCC 2008
CountryUnited States
CityAkihabara, Tokyo
Period08/10/1408/10/16

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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    Mogi, T., & Ohtsuki, T. (2008). TOA localization using RSS weight with path loss exponents estimation in NLOS environments. In 2008 14th Asia-Pacific Conference on Communications, APCC 2008 [4773736] (2008 14th Asia-Pacific Conference on Communications, APCC 2008).