Editor: "Monika Pinchas(Monika )"

The Whole Story Behind Blind Adaptive Equalizers/ Blind Deconvolution

eBook: US $34 Special Offer (PDF + Printed Copy): US $136
Printed Copy: US $119
Library License: US $136
ISBN: 978-1-60805-135-9
eISBN: 978-1-60805-352-0 (Online)
DOI: 10.2174/97816080535201120101
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Introduction

It is well known that Intersymbol (ISI) Interference is a limiting factor in many communication environments where it causes an irreducible degradation of the bit error rate (BER) thus imposing an upper limit on the data symbol rate. In order to overcome the ISI problem, an equalizer is implemented in those systems. Among the three types of equalizers - non-blind, semi-blind and blind – the blind equalizer has the benefit of bandwidth saving and there is no need of going through a training phase. Blind equalization algorithms are essentially adaptive filtering algorithms designed such that they do not require the external supply of a desired response to generate the error signal in the output of the adaptive equalization filter. The algorithms generate an estimate of the desired response by applying a nonlinear transformation to sequences involved in the adaptation process. This nonlinearity is designed to minimize a cost function that is implicitly based on higher order statistics (HOS) according to one approach, or calculated directly according to the Bayes rules.

gives the readers a full understanding on blind deconvolution. The e-book covers a variety of blind deconvolution/equalization methods based on both cost functions and Bayes rules where simulation results are supplied to support the theory. These include the Maximum Entropy density approximation technique and the Edgeworth Expansion approach used in various blind equalizers. It also describes the relationship between the cost function approach and the approach taken according to Bayes rules. The e-book deals also with the effect of various system parameters (such as the step-size parameter or the equalizer's tap length) have on the obtained equalization performance. This e-book will be of particular interest to advanced communications engineering undergraduate students, graduate students, university instructors and signal processing researchers.

Foreword

- Pp. i
Yosef Pinhasi
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Preface

- Pp. ii-iii (2)
Monika Pinchas
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Introduction

- Pp. 3-9 (7)
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System Description

- Pp. 10-22 (13)
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The Cost Function Approach

- Pp. 23-42 (20)
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The Bayesian Approach

- Pp. 43-67 (25)
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Advantages and Disadvantages of Each Approach

- Pp. 68-77 (10)
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Equalization Performance Analysis

- Pp. 78-111 (34)
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How Does The Equalizer's Parameters, Channel Characteristics or Input Signal Constellation Affect The Equalization Performance?

- Pp. 112-131 (20)
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Does TheChosen Equalizer Lead To Optimal Equalization Performance?

- Pp. 132-145 (14)
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The Convergence Time of A Blind Adaptive Equalizer

- Pp. 146-181 (36)
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Advantages And Disadvantages Of Blind Adaptive Equalizers Compared With The Non Adaptive And Non Blind Approach

- Pp. 182-185 (4)
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Appendix

- Pp. 186-189 (4)
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Bibliography

- Pp. 190-196 (7)
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Index

- Pp. 197-198 (2)
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