Proceedings of the 2018 Joint International Advanced Engineering and Technology Research Conference (JIAET 2018)

Position Location Estimation Algorithms for Mobile Station in NLOS Propagation Environment

Authors
Xiaohua Tian, Juanjuan Yin
Corresponding Author
Xiaohua Tian
Available Online March 2018.
DOI
10.2991/jiaet-18.2018.48How to use a DOI?
Keywords
Time of arrival (TOA); Angle of arrival (AOA); Position location (PL); Line of sight (LOS) propagation; Non-line-of-sight (NLOS) propagation; Feasible region.
Abstract

The non-line-of-sight (NLOS) propagation is a key problem of subscriber location in cellular networks. The angle of arrival (AOA) and time/angle of arrival (TOA/AOA) position location (PL) estimation methods are presented to mitigate the NLOS propagation in this paper. In order to reduce the feasible region of the mobile station (MS) and to improve the accuracy of the location estimation, the angle spread measured AOA is constrained by the geometrically based single bounce circular model (GBSBCM) and the measured TOA is constrained by the fact that the measured TOA is always greater than the true TOA value. Its effectiveness is verified by the computer simulation.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 Joint International Advanced Engineering and Technology Research Conference (JIAET 2018)
Series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-507-8
ISSN
2352-5401
DOI
10.2991/jiaet-18.2018.48How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaohua Tian
AU  - Juanjuan Yin
PY  - 2018/03
DA  - 2018/03
TI  - Position Location Estimation Algorithms for Mobile Station in NLOS Propagation Environment
BT  - Proceedings of the 2018 Joint International Advanced Engineering and Technology Research Conference (JIAET 2018)
PB  - Atlantis Press
SP  - 272
EP  - 277
SN  - 2352-5401
UR  - https://doi.org/10.2991/jiaet-18.2018.48
DO  - 10.2991/jiaet-18.2018.48
ID  - Tian2018/03
ER  -