Frame Synchronization In Ofdm Systems Using Neural Networks, With Dsp Implementation

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contributor.author Al Meer, Mohamed H. en_US
date.accessioned 2009-11-25T13:03:39Z en_US
date.available 2009-11-25T13:03:39Z en_US
date.issued 2002 en_US
identifier.citation Engineering Journal of Qatar University, 2002, Vol. 15, Pages 135-152. en_US
identifier.uri http://hdl.handle.net/10576/7846 en_US
description.abstract This paper presents a method for estimation of the timing offset in OFDM (Orthogonal Frequency Division Multiplexing) systems. The author showed that it is possible to detect the start of the OFDM blocks without the use of pilot tones or the most recently researched the use of correlation with cyclic prefixing, for frame synchronization. The method relies on training the neural networks to recognize a special synchronization pattern transmitted in the beginning of OFDM blocks. The tests and simulation carried out on the system showed an excellent recognition degree in an environment of high AWGN (Additive White Gaussian Noise) noise and multi-path distortion. Finally a real-time DSP (Digital Signal Processing) implementation of the method has been achieved with parallel results to simulation. en_US
language.iso en en_US
publisher Qatar University en_US
subject Engineering: Research Papers en_US
title Frame Synchronization In Ofdm Systems Using Neural Networks, With Dsp Implementation en_US
type Article en_US
identifier.pagination 135-152 en_US
identifier.volume 15 en_US


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