Home // International Journal On Advances in Telecommunications, volume 3, numbers 3 and 4, 2010 // View article

Low Complexity Enhanced Hybrid Spectrum Sensing Architectures for Cognitive Radio Equipment

Authors:
Ziad Khalaf
Amor Nafkha
Jacques Palicot
Mohamed Ghozzi

Keywords: Cognitive Radio, Spectrum sensing, Energy detector, Detection features.

Abstract:
Spectrum sensing enables detecting opportunities in licensed bands in order to access unused portions of the licensed spectrum. In this paper we propose two low complexity detectors based on a combination of two well-known and complementary signal detection mechanisms: energy detection and mono-cycle detection, which exploits cyclostationarity property of the signals. In the first algorithm the mono-cycle detector iteratively corrects the thresholds of a double threshold energy detector, that will finally converge to the performance of the mono-cycle detector. The second algorithm uses the mono-cycle detector to directly estimate the noise level N0, which is used to fix the threshold of the radiometer. Simulation results conducted on different environments show promising performances of the proposed detectors especially in low SNR.

Pages: 102 to 114

Copyright: Copyright (c) to authors, 2010. Used with permission.

Publication date: April 6, 2011

Published in: journal

ISSN: 1942-2601