The HOS for Blind Identification and Equalization of Systems | Recent Advances in Digital Telecommunications and Signal Processing

Mohammed Zidane (u. a.)

ISBN 10: 3330012056 / ISBN 13: 9783330012059

Published by LAP LAMBERT Academic Publishing, 2016

About this Item

The HOS for Blind Identification and Equalization of Systems | Recent Advances in Digital Telecommunications and Signal Processing | Mohammed Zidane (u. a.) | Taschenbuch | 80 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783330012059 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 108115733

Bibliographic Details

• Title: The HOS for Blind Identification and Equalization of Systems | Recent Advances in Digital Telecommunications and Signal Processing
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3330012056
• ISBN 13: 9783330012059
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 137 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The aim of this book is to present a theoretical development of higher order statistics (HOS) and their applications in blind identification and equalization domain. We provide a description of HOS theory, then we introduce the application of HOS to identify the transmission channels. In the one hand, we present a theoretical development linking cumulants and impulse response channels. In the other hand, these relationships are used to develop several algorithms. Finally, to assess the performance of these approaches to identify the parameters of communications channels, we consider theoretical channel models. One ends with simulation results illustrating the performance of the proposed methods. In the part of the implementation of HOS in blind equalization problem, we have checked the effectiveness of the proposed algorithm on a Multi-Carrier Code Division Multiple Access (MC-CDMA), for this we have chosen fast fading channels called BRAN. In this context, we use the equalizers techniques after channel identification to correct channel distortion. Theoretical analysis and numerical simulation results in noisy environment show that the proposed algorithm reduces the bit error rate.

About the Author

Dr. Mohammed Zidane has obtained his Ph.D. degree in Signal Processing and Digital Telecommunications in 2015. Since then, he has worked in different international projects in the field of blind linear and non linear BRAN channels identification and equalization in MC-CDMA systems. He is the author of several articles published in reputed journals.