A Spectrum Sensing Algorithm Based on Maximum Entropy Spectral Estimation

DOI

10.2991/itoec-16.2016.18How to use a DOI?

Keywords

cognitive radio; spectrum sensing; PAAR; Maximum Entropy Spectral Estimation

Abstract

A spectrum sensing algorithm, named as MESE algorithm, based on maximum entropy spectral estimation was constructed in this papers. Frequency domain analysis was introduced into the spectrum sensing, peak to average power spectrum amplitude ratio (PAAR) was taken as detection statistics, Detection threshold obtained from the probability density distribution of the detection statistic by the method of Monte Carlo. The simulation results show that the detection performance of MESE algorithm was much better than energy detection algorithm.

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  - Jiangzhou Wang
PY  - 2016/05
DA  - 2016/05
TI  - A Spectrum Sensing Algorithm Based on Maximum Entropy Spectral Estimation
BT  - Proceedings of the 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016)
PB  - Atlantis Press
SP  - 88
EP  - 91
SN  - 2352-5401
UR  - https://doi.org/10.2991/itoec-16.2016.18
DO  - 10.2991/itoec-16.2016.18
ID  - Wang2016/05
ER  -