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Conference Papers Year : 2011

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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Dates and versions

hal-00606046 , version 1 (05-07-2011)

Identifiers

  • HAL Id : hal-00606046 , version 1

Cite

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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