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

Toshihiro Mogi; Tomoaki Ohtsuki

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

Toshihiro Mogi, Tomoaki Ohtsuki

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2008 14th Asia-Pacific Conference on Communications, APCC 2008
Publication status	Published - 2008 Dec 1
Event	2008 14th Asia-Pacific Conference on Communications, APCC 2008 - Akihabara, Tokyo, United States Duration: 2008 Oct 14 → 2008 Oct 16

Publication series

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

Other

Other	2008 14th Asia-Pacific Conference on Communications, APCC 2008
Country	United States
City	Akihabara, Tokyo
Period	08/10/14 → 08/10/16

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).

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title = "TOA localization using RSS weight with path loss exponents estimation in NLOS environments",

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",

author = "Toshihiro Mogi and Tomoaki Ohtsuki",

year = "2008",

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language = "English",

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AU - Mogi, Toshihiro

AU - Ohtsuki, Tomoaki

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N2 - 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

AB - 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

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M3 - Conference contribution

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SN - 4885522323

SN - 9784885522321

T3 - 2008 14th Asia-Pacific Conference on Communications, APCC 2008

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

T2 - 2008 14th Asia-Pacific Conference on Communications, APCC 2008

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