E-Book, Englisch, 236 Seiten
E-Book, Englisch, 236 Seiten
ISBN: 978-1-4665-8155-5
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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
Zielgruppe
Wireless communication, electronics, and computer engineers; researchers in signal processing and mobile communications; broadcast technologists; researchers in microwaves and antennas and machine learning; industry professionals.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Introduction
Introduction
The Need for Equalizers
Review of Contemporary Literature
The Major Contributions of the Book
Further Reading
Overview of Mobile Channels and Equalizers
Introduction
The Mobile Cellular Communication System
Fading Characteristics of Mobile Channels
Channel Models
Classification of Equalizers
Conclusion
Further Reading
Neuro-Fuzzy Equalizers for Cellular Channels
Introduction to Neuro-Fuzzy Systems
Type-2 Fuzzy Adaptive Filter
Adaptation of the Type-2 FAF for the Indoor Environment
Conclusion
Further Reading
The ANFIS-Based Channel Equalizer
Introduction
Methods of Channel Equalizer Analysis and Design
Mobile Channel Equalizer Based on ANFIS
Equalization of UWB Systems Using ANFIS
Conclusion
Further Reading
The Compensatory Neuro-Fuzzy Filter (CNFF)
Introduction
CNFF
The Structure of CNFFs
Conclusion
Further Reading
A Radial Basis Function Framework
Introduction
RBF Neural Networks
Type- FAF Equalizer
CNFF
ANFIS Based Channel Equalizer
Conclusion
Further Reading
A Modular Approach to Channel Equalization
Introduction
Nonlinear Channel Models
Nonlinear Channel Equalizers
A Modular Approach for Non-Linear Channel Equalizers
Simulation Results
Conclusion
Further Reading
OFDM and Spatial Diversity
Introduction
CDMA
COFDM
Conclusion
Further Reading
Conclusion
Introduction
The Major Achievements of the Work
Confinements of the Work
Scope for Further Research
Further Reading
Index