Spectrum sensing based on entropy estimation using cyclostationary features for Cognitive radio

Author

Sabat, Samrat L. ; Srinu, S. ; Raveendranadh, A. ; Udgata, Siba K.

Author_Institution

Sch. of Phys., Univ. of Hyderabad, Hyderabad, India

fYear

2012

fDate

3-7 Jan. 2012

Firstpage

1

Lastpage

6

Abstract

This work presents a new spectrum sensing technique based on entropy estimation of autocorrelation estimates of received signal at different cyclic frequencies. The performance of the proposed entropy detection is compared with cyclostationary detection based on spectral coherence function (SCF) and energy detection methods. Both the algorithms are verified under single node and multinode/cooperative environment. Sensing performance of both the algorithms are analyzed using Monte-Carlo methods. Simulation result discloses that, entropy detection algorithm detect signals of signal-to-noise ratio (SNR) upto -26dB whereas SCF method detects signal upto -23dB using seven nodes in cooperation for detection probability P_d≥0.9 and false alarm probability P_fa≤0.1. The proposed sensing algorithm is also implemented in Virtex-4 (XC4VSX35-10FF668) Field Programmable Gate Arrays.

Keywords

Monte Carlo methods; cognitive radio; entropy; field programmable gate arrays; probability; signal detection; Monte-Carlo methods; SCF; SCF method; SNR; Virtex-4 field programmable gate arrays; cognitive radio; cyclic frequencies; cyclostationary detection; cyclostationary features; detection probability; energy detection methods; entropy detection; entropy detection algorithm; entropy estimation; false alarm probability; multinode-cooperative environment; received signal; signal detection; signal-to-noise ratio; spectral coherence function; spectrum sensing; spectrum sensing technique; Correlation; Entropy; Estimation; Field programmable gate arrays; Sensors; Signal processing algorithms; Signal to noise ratio; Cognitive Radio Network; Entropy estimation; Field Programmable Gate Arrays; Multinode spectrum sensing; Signal to noise ratio; cyclostationary feature detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems and Networks (COMSNETS), 2012 Fourth International Conference on

Conference_Location

Bangalore

Print_ISBN

978-1-4673-0296-8

Electronic_ISBN

978-1-4673-0297-5

Type

conf

DOI

10.1109/COMSNETS.2012.6151311

Filename

6151311