Block synchronisation for joint channel and DC-offset estimation using data-dependent superimposed training

Moosvi, S.M.A., McLernon, D.C., Alameda-Hernandez, E. and Ghogho, M. (2007) Block synchronisation for joint channel and DC-offset estimation using data-dependent superimposed training. In: 9th International Symposium on Signal Processing and Its Applications, 2007. International Symposium on Signal Processing and its Applications, 12-15 February 2007, Sharjah, UAE. IEEE , pp. 1-4. ISBN 1-4244-0779-6

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Published Version: http://dx.doi.org/10.1109/ISSPA.2007.4555584

Abstract

In this paper, we propose a new (single-step) block synchronisation algorithm for joint channel and DC-offset estimation for data-dependent superimposed training (DDST). While a (two-step) block synchronisation algorithm for DDST has previously been proposed in [5], due to interference from the information-bearing data it performed sub-optimally, resulting in channel estimates with unknown delays. These delay ambiguities (also present in the equaliser) were then estimated in [5] in a non-practical manner. In this paper we avoid the need for estimation of this delay ambiguity by exploiting the special structure of the channel output’s cyclic mean vector. The result is a BER performance superior to the DDST synchronisation algorithm first published in [5].

Item Type:	Proceedings Paper
Keywords:	Superimposed Training, Synchronisation, Rayleigh fading
Academic Units:	The University of Leeds > Faculty of Engineering (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Integrated Information Systems (Leeds)
Depositing User:	Syed M A Moosvi
Date Deposited:	18 May 2007
Last Modified:	08 Feb 2013 17:06
Published Version:	http://dx.doi.org/10.1109/ISSPA.2007.4555584
Status:	Published
Publisher:	IEEE
Refereed:	No
Identification Number:	10.1109/ISSPA.2007.4555584
Related URLs:	http://s.moosvi.googlepages.com/MOOSVI_I...
URI:	http://eprints.whiterose.ac.uk/id/eprint/2484

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