Synopsis
The demand for data traffic over mobile communication networks has substantially increased during the last decade. As a result, these mobile broadband devices spend the available spectrum fiercely, requiring the search for new technologies. In transmissions where the channel presents a frequency-selective behavior, multicarrier modulation (MCM) schemes have proven to be more efficient, in terms of spectral usage, than conventional modulations and spread spectrum techniques. The orthogonal frequency-division multiplexing (OFDM) is the most popular MCM method, since it not only increases spectral efficiency but also yields simple transceivers. All OFDM-based systems, including the single-carrier with frequency-division equalization (SC-FD), transmit redundancy in order to cope with the problem of interference among symbols. This book presents OFDM-inspired systems that are able to, at most, halve the amount of redundancy used by OFDM systems while keeping the computational complexity comparable. Such systems, herein called memoryless linear time-invariant (LTI) transceivers with reduced redundancy, require low-complexity arithmetical operations and fast algorithms. In addition, whenever the block transmitter and receiver have memory and/or are linear time-varying (LTV), it is possible to reduce the redundancy in the transmission even further, as also discussed in this book. For the transceivers with memory it is possible to eliminate the redundancy at the cost of making the channel equalization more difficult. Moreover, when time-varying block transceivers are also employed, then the amount of redundancy can be as low as a single symbol per block, regardless of the size of the channel memory. With the techniques presented in the book it is possible to address what lies beyond the use of OFDM-related solutions in broadband transmissions. Table of Contents: The Big Picture / Transmultiplexers / OFDM / Memoryless LTI Transceivers with Reduced Redundancy / FIR LTV Transceivers with Reduced Redundancy
À propos de l?auteur
Paulo S. R. Diniz was born in Niterói, Brazil. He received the Electronics Eng. degree (Cum Laude) from the Federal University of Rio de Janeiro (UFRJ) in 1978, a M.Sc. degree from COPPE/UFRJ in 1981, and a Ph.D. from Concordia University, Montreal, P.Q., Canada, in 1984, all in Electrical Engineering. Since 1979 he has been with the Department of Electronic Engineering (undergraduate) at UFRJ. He has also been with the Program of Electrical Engineering (the graduate studies dept.), COPPE/UFRJ, since 1984, where he is presently a Professor. He served as Undergraduate Course Coordinator and Chairman of the Graduate Department. He has received the Rio de Janeiro State Scientist award from the Governor of Rio de Janeiro. From January 1991 to July 1992, he was a visiting Research Associate in the Department of Electrical and Computer Engineering of University of Victoria, Victoria, B.C., Canada. He also held a Docent position at Helsinki University of Technology. From January 2002 to June 2002, he was a Melchor Chair Professor in the Department of Electrical Engineering of University of Notre Dame, Notre Dame, IN, USA. His teaching and research interests are in analog and digital signal processing, adaptive signal processing, digital communications, wireless communications, multirate systems, stochastic processes, and electronic circuits. He has published several refereed papers in some of these areas and wrote the books Adaptive Filtering: Algorithms and Practical Implementation, 4th ed., Springer, NY, 2012, and Digital Signal Processing: System Analysis and Design, 2nd ed., Cambridge University Press, Cambridge, UK, 2010 (with E.A.B. da Silva and S.L. Netto). He has served as the Technical Program Chair of the 1995 MWSCAS held in Rio de Janeiro, Brazil. He was the General co-Chair of the IEEE ISCAS2011, and Technical Program co-Chair of the IEEE SPAWC2008.He has been on the technical committee of several international conferences including ISCAS, ICECS, EUSIPCO, andMWSCAS. He has served as Vice President for region 9 of the IEEE Circuits and Systems Society and as Chairman of the DSP technical committee of the same Society. He is also a Fellow of IEEE. He has served as associate editor for the following Journals: IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing from 1996-1999, IEEE Transactions on Signal Processing from 1999-2002, and the Circuits, Systems and Signal Processing Journal from 1998-2002. He was a distinguished lecturer of the IEEE Circuits and Systems Society from 2000-2001. In 2004, he served as distinguished lecturer of the IEEE Signal Processing Society and received the 2004 Education Award of the IEEE Circuits and Systems Society. He also holds some best-paper awards from conferences and from an IEEE journal. Wallace A. Martins was born in Brazil in 1983. He received an Electronics Engineering degree (Cum Laude) from the Federal University of Rio de Janeiro (UFRJ) in 2007, and M.Sc. and D.Sc. degrees in Electrical Engineering from COPPE/UFRJ in 2009 and 2011, respectively. He worked as a technical consultant for Nokia Institute of Technology (INDT), Brazil, and for TechKnowledge Training, Brazil. In 2008, he was a research visitor at the Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN. Since 2010 he has been with the Department of Control and Automation Industrial Engineering, Federal Center for Technological Education Celso Suckow da Fonseca (CEFET/RJ - UnED-NI), where he is presently a Lecturer of Engineering. His research interests are in the fields of digital communication, microphone ar[1]ray signal processing, and adaptive signal processing. Dr. Martins received the Best Student Paper Award from EURASIP at EUSIPCO-2009, Glasgow, Scotland. Markus V. S. Lima was born in Rio de Janeiro, Brazil in 1984. He received an Electronics Engineering degree from the Federal University of Rio de Janeiro (UFRJ) in 2008, an M.Sc. degree inElectrical Engineering from COPPE/UFRJ in 2009, and is currently pursuing his D.Sc. degree at COPPE/UFRJ. He has served as a teaching assistant for the following undergraduate courses taught at UFRJ: Digital Transmission, Digital Signal Processing, and Linear Systems. His main interests are in adaptive signal processing, microphone array signal processing, digital communications, wireless communications, statistical signal processing, and linear algebra.
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