000			a
999			_c30579 _d30579
008			220321b xxu||||| |||| 00| 0 eng d
020			_a9780367542931
082			_a621.384 _bCAP
100			_aCaptain, Kamal M.
245			_aSpectrum sensing for cognitive radio : fundamentals and applications
260			_bCRC Press, _c2022 _aBoca Raton :
300			_axxvi, 229 p. ; _bill., _c24 cm
365			_b89.99 _cGBP _d105.90
504			_aIncludes bibliographical references and index.
520			_aThis comprehensive reference text discusses concepts of cognitive radio and the advances in the field of spectrum sensing. This text discusses the concept of cognitive radio for next generation wireless communication and a very critical aspect of cognitive radio - that is, spectrum sensing - in detail. It covers important topics including narrowband spectrum sensing, wideband spectrum sensing, cooperative spectrum sensing, system and channel models, detection algorithms, approximation of decision statistics and theoretical analysis of detection algorithms in detail. Separate chapters are dedicated to discussing the analysis and use of detection algorithms for narrowband spectrum sensing, wideband spectrum sensing and cooperative wideband spectrum sensing. Aimed at graduate students and academic researchers in the fields of electrical engineering and electronics and communication engineering, 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 algorithms from narrowband spectrum sensing to the more advanced wideband spectrum sensing.
650			_aCognitive radio networks
650			_aSpectrum Sensing
650			_aAdditive white Gaussian noise
650			_a Bandpass filte
650			_aCooperative secondary user
650			_a Discrete Fourier transform
650			_aEnergy detection
650			_aFusion center
650			_aGaussian random process
650			_a Hidden Markov model
650			_aIndependent and identically distributed
650			_aK out of M combining rule
650			_aMonte Carlo
650			_a Nakagami distribution
650			_aRanked channel detection
650			_a Probabiliy of false alarm
650			_a SNR wall
650			_aSquare law combining
650			_a Stochastic process
650			_aWideband spectrum sensing
700			_aJoshi, Manjunath V.
942			_2ddc _cBK