Spectrum sensing for cognitive radio exploiting spectral masks

In this paper, we will provide a straightforward look at semi blind spectrum sensing technique exploiting spectral masks. The proposed spectrum sensing technique is deployed on two stages. At a first level, the spectral masks database is built during the synchronization phase of the transmission, then in a second processing, a matched filter based detection is deployed to infer the nature of the sensed signals. Simulation results obtained for noisy OFDM signals witness the efficiency of the proposed detector. The performance comparison with a simple matched filter shows that the new designed scheme achieves close performance to matched filtering while preserving a fundamental property of blind processing.