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

By S.M.A. Moosvi, D.C. McLernon, E. Alameda-Hernandez and M. Ghogho

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]

Publisher: IEEE
Year: 2007
OAI identifier: oai:eprints.whiterose.ac.uk:2484

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