Enhanced hybrid spectrum sensing architecture for cognitive radio equipment

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 N₀, 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).