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Enhanced Hybrid Spectrum Sensing Architecture for Cognitive Radio Equipment

Abstract : Spectrum sensing is an important process in cognitive communication and must be performed accurately. In this paper we propose a low complexity detector based on a combination of two well-known and complementary spectrum sensing methods: energy and cyclostationary detection. The cyclostationary detector is used to estimate the noise level , which is then used to fix the threshold of the energy detector. Simulation results show promising performances of the proposed detector in low Signal to Noise Ratio (SNR).
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Contributor : Myriam Andrieux Connect in order to contact the contributor
Submitted on : Tuesday, July 5, 2011 - 11:45:32 AM
Last modification on : Tuesday, January 25, 2022 - 3:01:15 AM


  • HAL Id : hal-00606046, version 1


Ziad Khalaf, Amor Nafkha, Jacques Palicot. Enhanced Hybrid Spectrum Sensing Architecture for Cognitive Radio Equipment. URSI GASS 2011, Aug 2011, Istanbul, Turkey. 4 p. ⟨hal-00606046⟩



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