TY  - BOOK
AU  - Captain,Kamal M.
AU  - Joshi,Manjunath V.
TI  - Spectrum sensing for cognitive radio: fundamentals and applications 
SN  - 9780367542931
AV  - TK5103.4815 
U1  - 621.384 23
PY  - 2022///
CY  - Boca Raton, FL, Abingdon, Oxon
PB  - CRC Press, 
KW  - Cognitive radio networks
KW  - Radio cognitive
KW  - TECHNOLOGY
KW  - Electronics
KW  - General
KW  - bisacsh
KW  - fast
N1  - Includes bibliographical references and index; Fundamentals of probability theory -- Introduction -- Literature review -- Part I. Narrowband spectrum sensing -- Energy-detection-based spectrum sensing over generalized fading model -- Generalized energy detector in the presence of noise uncertainty and fading -- Part II. Wideband spectrum sensing -- Diversity for wideband spectrum sensing under fading -- Cooperative wideband spectrum sensing -- Conclusions and future research directions
N2  - This 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
ER  -