Title :
A blindly optimized compressive sensing receiver for cognitive radio
Author :
Farrag, Mohammed ; El-Khamy, Mostafa ; El-Sharkawy, Mohamed
Author_Institution :
Egypt-Japan Univ. of Sci. & Technol. (E-JUST), Alexandria, Egypt
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; data compression; radio transceivers; blindly-optimized compressive sensing receiver; cognitive radio transceivers; receiver hardware complexity; receiver-operating characteristics; sampling rates; spectrum sensing algorithm; Cognitive radio; Receivers; Sensors; Vectors; Wavelet packets; Wideband; Blind Optimization; Cognitive radio; Compressive sensing; Entropy; Wavelet Packet; sub-Nyquist sampling;
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-0230-3
DOI :
10.1109/ICCE.2012.6161816
