
Channel Estimation for LTE MIMO-OFDM Systems
Estimation Techniques of Mobile Radio Channel selective in Time and in Frequency
Aymen Omri(Author)
LAP Lambert Academic Publishing
Published on 26. May 2012
Book
Paperback/Softback
164 pages
978-3-659-13630-6 (ISBN)
Description
Nowadays, the requirements in terms of communication are increasing exponentially and getting more diverse. The transmission data rates must be high while maintaining very good quality of service (QoS) despite the very hostile propagation channels. Generally, transmissions that are carried out on mobile radio channels are selective both in time and frequency. To overcome the channel selectivity and allows high transmission data rates, the Long Term Evolution (LTE) standard makes use of the Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) technique. By implementing this technique in the context of mobile transmission, new approaches for time and frequency synchronization, equalization and channel estimation are needed. This book focuses on the study, modeling and development of efficient channel estimation techniques for broadband mobile radio channels and specifically for LTE systems. This book is interesting for both undergraduate and postgraduate students in the field of wireless communication systems. The professional engineers will find also this book useful in improving and designing new wireless communication systems.
More details
Language
English
Place of publication
Germany
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 11 mm
Weight
262 gr
ISBN-13
978-3-659-13630-6 (9783659136306)
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Schweitzer Classification
Person
Graduated in Telecommunications Engineering from the Tunisian Academy of Aviation (EABA) in 2007. He received his Master¿s degree and his Ph.D. degree in Information and Communications Technologies from the National School of Engineering of Tunis (ENIT) in 2009 and 2012. His research area spans wireless com. systems & signal processing.