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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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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
Institution: The University of Leeds
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: 21 Nov 2014 11:44
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:
URI: http://eprints.whiterose.ac.uk/id/eprint/2484

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