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題名 A Novel Location Algorithm Based on Dynamic Compensation Using Linear Location Prediction in NLOS Situations
作者 Lei Mu;郭更生;Ningning Tao
貢獻者 IEEE
日期 2006-05
上傳時間 14-Jan-2009 16:47:00 (UTC+8)
摘要 Due to the time-varying and multi-path environment in mobile communications, non-line-of-sight (NLOS) has become the most challenging problem when reaching higher accuracy in wireless location estimation. In this paper, we propose a novel location algorithm named linear location prediction (LLP) to gain favorable TOA location accuracy without bringing much complexity. By fully exploiting the common characteristics of moving objects, we provide linear location prediction estimation to MS in advance as a reference value to the newly estimated TOA measurement at the next sampling moment in NLOS situations. Therefore, the effect of NLOS errors is greatly reduced as the NLOS-contaminated estimated value can be compensated dynamically using the predicted one, yielding higher location accuracy. The simulation shows that the location error of our algorithm is restricted to an encouraging level of only 0.074 kilometers, which is one third of that of the best algorithm, BFA (He Yan et al., 2004). In addition to that, the slowly rising curve of location error versus number of NLOS-contaminated BSs proves its greater robustness to NLOS contamination as well.
關聯 Proc. of 2006-Spring IEEE Vehicular Technology Conference
資料類型 conference
DOI http://dx.doi.org/10.1109/VETECS.2004.1388897
dc.contributor IEEEen_US
dc.creator (作者) Lei Mu;郭更生;Ningning Taoen_US
dc.date (日期) 2006-05en_US
dc.date.accessioned 14-Jan-2009 16:47:00 (UTC+8)-
dc.date.available 14-Jan-2009 16:47:00 (UTC+8)-
dc.date.issued (上傳時間) 14-Jan-2009 16:47:00 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/24932-
dc.description.abstract (摘要) Due to the time-varying and multi-path environment in mobile communications, non-line-of-sight (NLOS) has become the most challenging problem when reaching higher accuracy in wireless location estimation. In this paper, we propose a novel location algorithm named linear location prediction (LLP) to gain favorable TOA location accuracy without bringing much complexity. By fully exploiting the common characteristics of moving objects, we provide linear location prediction estimation to MS in advance as a reference value to the newly estimated TOA measurement at the next sampling moment in NLOS situations. Therefore, the effect of NLOS errors is greatly reduced as the NLOS-contaminated estimated value can be compensated dynamically using the predicted one, yielding higher location accuracy. The simulation shows that the location error of our algorithm is restricted to an encouraging level of only 0.074 kilometers, which is one third of that of the best algorithm, BFA (He Yan et al., 2004). In addition to that, the slowly rising curve of location error versus number of NLOS-contaminated BSs proves its greater robustness to NLOS contamination as well.-
dc.format application/en_US
dc.language enen_US
dc.language en-USen_US
dc.language.iso en_US-
dc.relation (關聯) Proc. of 2006-Spring IEEE Vehicular Technology Conferenceen_US
dc.title (題名) A Novel Location Algorithm Based on Dynamic Compensation Using Linear Location Prediction in NLOS Situationsen_US
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1109/VETECS.2004.1388897en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1109/VETECS.2004.1388897en_US