Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)
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Table of contents (7 chapters)
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Front Matter
Keywords
About this book
This SpringerBrief investigates the performance of semi-blind independent component analysis (ICA) based equalization and carrier frequency offset estimation approaches (CFO) for a number of orthogonal frequency division multiplexing (OFDM) based wireless communication systems. It provides a comprehensive overview of the challenges of channel equalization and frequency synchronization for different wireless systems.
The authors present the wireless communication channel and system models. Key existing CFO estimation methods are reviewed, along with a number of the training based and non-training based (blind) channel estimation methods. This is followed by a study of ICA and its applications to OFDM-based wireless communication systems. Later chapters provide a detailed description of recent research on semi-blind CFO estimation and ICA based equalization approaches for various wireless communication systems including multiple-input multiple-output (MIMO) OFDM and coordinated multipoint (CoMP) systems.
Semi-blind CFO estimation and equalization structures provide a spectrum-efficient and high-performance solution for high speed wireless communications. This book is suitable for postgraduate students, researchers or professionals in the area of wireless communications.
Authors and Affiliations
Bibliographic Information
Book Title: Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization
Authors: Yufei Jiang, Xu Zhu, Eng Gee Lim, Yi Huang, Hai Lin
Series Title: SpringerBriefs in Electrical and Computer Engineering
DOI: https://doi.org/10.1007/978-3-319-24984-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2015
Softcover ISBN: 978-3-319-24982-7Published: 07 December 2015
eBook ISBN: 978-3-319-24984-1Published: 01 December 2015
Series ISSN: 2191-8112
Series E-ISSN: 2191-8120
Edition Number: 1
Number of Pages: X, 87
Number of Illustrations: 11 b/w illustrations, 6 illustrations in colour
Topics: Computer Communication Networks, Communications Engineering, Networks, Information Systems and Communication Service
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