Block decision feedback equalization
Williamson, D.
Kennedy, R.A.
Pulford, G.W.
Australian Nat. Univ., Canberra, ACT;
This paper appears in: Communications, IEEE Transactions on
Publication Date: Feb 1992
Volume: 40,
Issue: 2
On page(s): 255-264
ISSN: 0090-6778
References Cited: 28
CODEN: IECMBT
INSPEC Accession Number: 4161954
Digital Object Identifier: 10.1109/26.129188
Current Version Published: 2002-08-06
Abstract
A natural generalization of the conventional decision feedback
equalizer (DFE) based on block processing and maximum a posteriori
decisions is presented. This block DFE is indexed by two parameters
depending on the block length p and the number of decisions
q⩽p made at each iteration. The block DFE
emulates: the conventional DFE when p=q=1; the maximum
likelihood sequence estimator when p=q→∞;
and the maximum symbol-by-symbol a posteriori optimal detector when
q=1, p→∞. For more general
(p,q) parameter settings, one achieves combinations
and simplifications of these classical nonlinear detectors. The authors
also recover more recently developed nonlinear equalizer structures
based on forward tree search algorithms in the high SNR limit (for q
=1). They simulate the equalizer using a standard literature
example. The theoretical framework presented accommodates autoregressive
moving average (ARMA) channels models. Investigations into the error
performance of the block DFE are briefly discussed
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