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 |
| Event | 2008 14th Asia-Pacific Conference on Communications, APCC 2008 - Akihabara, Tokyo, United States Duration: 2008 Oct 14 → 2008 Oct 16 |
Other
| Other | 2008 14th Asia-Pacific Conference on Communications, APCC 2008 |
|---|---|
| Country | United States |
| City | Akihabara, Tokyo |
| Period | 08/10/14 → 08/10/16 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Communication
Cite this
TOA localization using RSS weight with path loss exponents estimation in NLOS environments. / Mogi, Toshihiro; Ohtsuki, Tomoaki.
2008 14th Asia-Pacific Conference on Communications, APCC 2008. 2008. 4773736.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - TOA localization using RSS weight with path loss exponents estimation in NLOS environments
AU - Mogi, Toshihiro
AU - Ohtsuki, Tomoaki
PY - 2008
Y1 - 2008
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
UR - http://www.scopus.com/inward/record.url?scp=66149149353&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=66149149353&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:66149149353
SN - 4885522323
SN - 9784885522321
BT - 2008 14th Asia-Pacific Conference on Communications, APCC 2008
ER -