Compressive detection for wide-band spectrum sensing

In this paper we propose a novel wide-band spectrum sensing scheme using compressive sensing. The wide-band signal is fed into a number of wide-band filters and the outputs of the filters are used to reconstruct the vector of channel energies through the compressive sensing’s ℓ1 norm minimization. An energy detection is then performed by comparing the obtained vector to a vector of energy thresholds to decide about the occupancy of each channel. Performance of the proposed approach is compared to the current wide-band spectrum sensing algorithms as well as the conventional channel-by-channel scanning method.

• Type: Conference
• Year: 2010
• Where: ICASSP
• Authors: Veria Havary-Nassab, Sadiq Hassan, Shahrokh Valaee
• Keywords: Compressive Sensing, ICASSP 2010, Signal Processing, Wide-band Signal, Wide-band Spectrum