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A blindly optimized compressive sensing receiver for cognitive radio

Research Authors
Mohammed Farrag, Mostafa El-Khamy, Mohamed El-Sharkawy
Research Department
Research Year
2012
Research Journal
IEEE International Conference on Consumer Electronics (ICCE)
Research Publisher
IEEE
Research Rank
3
Research Abstract

Abstract—This paper proposes a spectrum sensing algorithm for cognitive radio transceivers to save in sampling rates and receiver hardware complexity. The proposed receiver blindly optimizes its compressed sensing sparsifying bases and has improved receiver-operating characteristics. Keywords: Cognitive radio; Compressive sensing; Wavelet Packet; Blind Optimization, Entropy, sub-Nyquist sampling