Wednesday, 7 October 2009

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Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 32-809
Full Name: Zidane Terra
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: 10, Avenue Hassen Badi -16200 Alger
Country: ALGERIA
Tel: 021 52 53 01/03
Tel prefix: 213
Fax: 021 52 29 73
E-mail address: zidane.terra@enp.edu.dz
Other E-mails: zidterra@gmail.com
Title of the Paper: Blind estimation of time and frequency offsets in zp-ofdm systems
Authors as they appear in the Paper: Zidane Terra, Karim Abed-Meriam, Adel Belouchrani
Email addresses of all the authors: zidane.terra@enp.edu.dz, abed@tsi.enst.fr, adel.belouchrani@enp.edu.dz
Number of paper pages: 10
Abstract: This paper presents a blind estimation of time and frequency offsets in zero padding orthogonal frequency division multiplexing (ZP-OFDM) systems. The proposed synchronization schemes [1] are based on the concept of statistical redundancy in the received signal introduced by the cyclic prefix. In the case of ZP-OFDM systems, the received signal is a white process. Since, there is no correlation between pairs of sample. This does not make it possible to apply the ML (Maximum Likelihood) approach in the determination of the time and frequency offsets. Bisides, the recourse to these schemes is not valid. We propose to use, for the estimation of the time offset, a new ML approach based on the energy concept. The principle of this method is to calculate the time delay introduced, during the transmission of OFDM signals, in terms of samples in an optimal way. This is done by locating the intervals of minimal energy, which correspond to ZP-OFDM. We apply a blind source !
separation (BSS) procedure [2] to track and cancel the carrier frequency and phase offsets. This approach is equivalent to a BSS problem involving the separation of a linear unity mixture of two independent real-valued components. These two components are the real and imaginary parts of the emitted signal which are assumed to be statistically independent.
Keywords: OFDM, zero padding, time offset, frequency offset, phase offset, ML estimation, BSS procedure and energy concept.
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