Moosvi, S.M.A., McLernon, D.C., Alameda-Hernandez, E. et al. (1 more author) (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 Feb 2007, Sharjah, UAE. IEEE , pp. 1-4. ISBN 1-4244-0779-6
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].
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | Superimposed Training, Synchronisation, Rayleigh fading |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Syed M A Moosvi |
Date Deposited: | 18 May 2007 |
Last Modified: | 19 Dec 2022 13:19 |
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: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:2484 |