Neuro-Fuzzy Equalizers for Mobile Cellular Channels: 1st Edition (Paperback) book cover

Neuro-Fuzzy Equalizers for Mobile Cellular Channels

1st Edition

By K.C. Raveendranathan

CRC Press

236 pages | 24 Color Illus. | 53 B/W Illus.

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Description

Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a mobile broadband communication channel and designing of a neuro-fuzzy adaptive equalizer for it. This book focuses on the concept of the simulation of wireless channel equalizers using the adaptive-network-based fuzzy inference system (ANFIS). The book highlights a study of currently existing equalizers for wireless channels. It discusses several techniques for channel equalization, including the type-2 fuzzy adaptive filter (type-2 FAF), compensatory neuro-fuzzy filter (CNFF), and radial basis function (RBF) neural network.

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

Table of Contents

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

About the Author

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.

Subject Categories

BISAC Subject Codes/Headings:
COM043000
COMPUTERS / Networking / General
TEC061000
TECHNOLOGY & ENGINEERING / Mobile & Wireless Communications