Neuro-Fuzzy Equalizers for Mobile Cellular Channels
CRC Press (Verlag)
978-1-138-07660-0 (ISBN)
Neuro-Fuzzy Equalizers for Mobile Cellular Channels
starts with a brief introduction to channel equalizers, and the nature of mobile cellular channels with regard to the frequency reuse and the resulting CCI. It considers the many channel models available for mobile cellular channels, establishes the mobile indoor channel as a Rayleigh fading channel, presents the channel equalization problem, and focuses on various equalizers for mobile cellular channels. The book discusses conventional equalizers like LE and DFE using a simple LMS algorithm and transversal equalizers. It also covers channel equalization with neural networks and fuzzy logic, and classifies various equalizers.This being a fairly new branch of study, the book considers in detail the concept of fuzzy logic controllers in noise cancellation problems and provides the fundamental concepts of neuro-fuzzy. The final chapter offers a recap and explores venues for further research. This book also establishes a common mathematical framework of the equalizers using the RBF model and develops a mathematical model for ultra-wide band (UWB) channels using the channel co-variance matrix (CCM).
Introduces the novel concept of the application of adaptive-network-based fuzzy inference system (ANFIS) in the design of wireless channel equalizers
Provides model ultra-wide band (UWB) channels using channel co-variance matrix
Offers a formulation of a unified radial basis function (RBF) framework for ANFIS-based and fuzzy adaptive filter (FAF) Type II, as well as compensatory neuro-fuzzy equalizers
Includes extensive use of MATLAB® as the simulation tool in all the above cases
K.C. Raveendranathan holds a bachelor’s degree in electronics and communication engineering, masters in electrical communication engineering, and Ph.D. in computer science and engineering. He worked in BEL Bangalore prior to joining College of Engineering Trivandrum, as a faculty. Now he is working as principal and professor in LBS Institute of Technology for Women Poojappura, Trivandrum, Kerala, India. Raveendranathan has over 25 years of teaching experience in various reputed government engineering colleges in Kerala. He has published over 12 papers in national/international conferences and journals and guided over a dozen UG and PG theses. He has also authored three textbooks. He is a life member of ISTE, Life Fellow of IETE, Life Fellow and Chartered Engineer of IE (India), and a senior member of IEEE.
Introduction. Overview of Mobile Channels and Equalizers: Neuro-Fuzzy Equalizers for Cellular Channels. The ANFIS-Based Channel Equalizer. A Radial Basis Function Framework. A Modular Approach to Channel Equalization. OFDM and Spatial Diversity. Conclusion.
Erscheinungsdatum | 28.04.2017 |
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Zusatzinfo | 13 Tables, black and white; 24 Illustrations, color; 53 Illustrations, black and white |
Verlagsort | London |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 453 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Nachrichtentechnik | |
Technik ► Umwelttechnik / Biotechnologie | |
ISBN-10 | 1-138-07660-0 / 1138076600 |
ISBN-13 | 978-1-138-07660-0 / 9781138076600 |
Zustand | Neuware |
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