IEICE TRANSACTIONS on Fundamentals
TOA Based Recalibration Systems for Improving LOS/NLOS Identification
Summary :
In this paper, we propose a non-cooperative line-of-sight (LOS)/non-LOS channel identification algorithm with single node channel measurements based on time-of-arrival statistics. In order to improve the accuracy of channel identification, we adopt a recalibration interval in terms of measured distance to the proposed algorithm. Experimental results are presented in terms of identification probability and recalibration interval. The proposed algorithm involves a trade-off between the channel identification quality and the recalibration rate. However, depending on the recalibration interval, it is possible to greatly improve the sensitivity of the channel identification system.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.5 pp.1267-1270
- Publication Date
- 2017/05/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.1267
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Yu Min HWANG
Kwangwoon University
Yuchan SONG
Kwangwoon University
Kwang Yul KIM
Soongsil University
Yong Sin KIM
Agency for Defense Development
Jae Seang LEE
Agency for Defense Development
Yoan SHIN
Soongsil University
Jin Young KIM
Kwangwoon University
Keyword
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Yu Min HWANG, Yuchan SONG, Kwang Yul KIM, Yong Sin KIM, Jae Seang LEE, Yoan SHIN, Jin Young KIM, "TOA Based Recalibration Systems for Improving LOS/NLOS Identification" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 5, pp. 1267-1270, May 2017, doi: 10.1587/transfun.E100.A.1267.
Abstract: In this paper, we propose a non-cooperative line-of-sight (LOS)/non-LOS channel identification algorithm with single node channel measurements based on time-of-arrival statistics. In order to improve the accuracy of channel identification, we adopt a recalibration interval in terms of measured distance to the proposed algorithm. Experimental results are presented in terms of identification probability and recalibration interval. The proposed algorithm involves a trade-off between the channel identification quality and the recalibration rate. However, depending on the recalibration interval, it is possible to greatly improve the sensitivity of the channel identification system.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.1267/_p
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@ARTICLE{e100-a_5_1267,
author={Yu Min HWANG, Yuchan SONG, Kwang Yul KIM, Yong Sin KIM, Jae Seang LEE, Yoan SHIN, Jin Young KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={TOA Based Recalibration Systems for Improving LOS/NLOS Identification},
year={2017},
volume={E100-A},
number={5},
pages={1267-1270},
abstract={In this paper, we propose a non-cooperative line-of-sight (LOS)/non-LOS channel identification algorithm with single node channel measurements based on time-of-arrival statistics. In order to improve the accuracy of channel identification, we adopt a recalibration interval in terms of measured distance to the proposed algorithm. Experimental results are presented in terms of identification probability and recalibration interval. The proposed algorithm involves a trade-off between the channel identification quality and the recalibration rate. However, depending on the recalibration interval, it is possible to greatly improve the sensitivity of the channel identification system.},
keywords={},
doi={10.1587/transfun.E100.A.1267},
ISSN={1745-1337},
month={May},}
Copy
TY - JOUR
TI - TOA Based Recalibration Systems for Improving LOS/NLOS Identification
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1267
EP - 1270
AU - Yu Min HWANG
AU - Yuchan SONG
AU - Kwang Yul KIM
AU - Yong Sin KIM
AU - Jae Seang LEE
AU - Yoan SHIN
AU - Jin Young KIM
PY - 2017
DO - 10.1587/transfun.E100.A.1267
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2017
AB - In this paper, we propose a non-cooperative line-of-sight (LOS)/non-LOS channel identification algorithm with single node channel measurements based on time-of-arrival statistics. In order to improve the accuracy of channel identification, we adopt a recalibration interval in terms of measured distance to the proposed algorithm. Experimental results are presented in terms of identification probability and recalibration interval. The proposed algorithm involves a trade-off between the channel identification quality and the recalibration rate. However, depending on the recalibration interval, it is possible to greatly improve the sensitivity of the channel identification system.
ER -
English
