Spectrum Sensing for Cognitive Radio Fundamentals and Applications

The text discusses methodologies for unmixing or decomposing the hyperspectral data into its constituent entities and provides a unified framework for the complete spectral unmixing of the data. It covers important topics including narrowband spectrum sensing, wideband spectrum sensing, cooperative spectrum sensing, system and channel model, detection algorithms, approximation of decision statistics and theoretical analysis of detection algorithms in detail. A separate chapter discusses use of detection algorithm for cooperative wideband spectrum sensing.
Aimed at graduate students and academic researchers in the field of electrical engineering, electronics and communication engineering and remote sensing, this text:
Discusses concepts of cognitive radio and research in spectrum sensing.Presents mathematical analysis of algorithms considering practical environment.Explains novel wideband spectrum sensing algorithms with detailed analysis.Provides mathematical derivations to help readers.Discusses basic spectrum sensing algorithm for narrowband spectrum sensing to the more advanced wideband spectrum sensing.