Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

Research on NLOS Channel Based on IEEE 802.15.3c Standard

Authors
Xiaolin Liang, Hao Zhang, Tingting Lv
Corresponding Author
Xiaolin Liang
Available Online April 2016.
DOI
10.2991/ameii-16.2016.11How to use a DOI?
Keywords
NLOS identification, IEEE 802.15.3c, energy detector, 60 GHz
Abstract

The major problem of indoor localization is the presence of non-line-of-sight (NLOS) channels. In order to perform NLOS identification, a novel NLOS identification technique is proposed which is based on the multiply of the standard deviation, max-slope and max-gradient of the block using energy detector (ED). IEEE 802.15.3c 60 GHz channel models are used as examples and the above statistics are explained in detail. The simplicity of proposed approach lies in ED-based algorithm. The LOS and NLOS of IEEE 802.15.3c channel models are used. Simulations results show the correct identification is better than with the multipath channel statistics based approach.

Copyright
© 2016, 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 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-188-9
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.11How to use a DOI?
Copyright
© 2016, 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  - Xiaolin Liang
AU  - Hao Zhang
AU  - Tingting Lv
PY  - 2016/04
DA  - 2016/04
TI  - Research on NLOS Channel Based on IEEE 802.15.3c Standard
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 60
EP  - 63
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.11
DO  - 10.2991/ameii-16.2016.11
ID  - Liang2016/04
ER  -