Threshold Selection Algorithm of Joint Metric for TOA Estimation in 60GHz Sensor Networks

DOI

10.2991/nceece-15.2016.283How to use a DOI?

Keywords

IR-60GHz; Joint Metric; TOA; Energy Detection

Abstract

Impulse radio (IR) 60GHz signal has been applied in ranging and localization systems because of higher multipath resolution. In order to improve the precision of the TOA estimation, a threshold selection algorithm based on a Joint Metric of the Skewness and Kurtosis after Energy Detection is proposed. According to the algorithm, a function used to describe the relationship between joint metric and normalized threshold is built and the performance compared to other algorithms is analyzed via IEEE802.15.3c CM1.1 channel. The result shows that the threshold selection algorithm proposed in this paper provides higher precision and robustness with different SNR environment in 60GHz sensor networks.

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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TY  - CONF
AU  - Ning Du
AU  - Hao Zhang
AU  - Tingting Lv
AU  - Qingfang Zeng
PY  - 2015/12
DA  - 2015/12
TI  - Threshold Selection Algorithm of Joint Metric for TOA Estimation in 60GHz Sensor Networks
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1571
EP  - 1574
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.283
DO  - 10.2991/nceece-15.2016.283
ID  - Du2015/12
ER  -