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
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 , 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  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 .
|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:||16 Sep 2016 13:51|