Mitigating error propagation of MMSE-DFE by joint parameter optimization

A joint optimization of the decision feedback equalizer (DFE) filter weights and an erasure slicer is proposed in this letter. The feedback weights of the DFE are constrained with an accurate mean square error (MSE) model as the criterion. An erasure slicer is adopted to further decrease error propa...

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Bibliographic Details
Published in:IEEE transactions on communications 2009-08, Vol.57 (8), p.2239-2243
Main Authors: Wang, Rujiang, Delisle, Gilles Y.
Format: Article
Language:English
Subjects:
Applied sciences
AWGN
Computer simulation
constrained MMSE
Criteria
Decision feedback equalizers
Detection, estimation, filtering, equalization, prediction
DFE
Equalizers
erasure slicer
error propagation
Errors
Exact sciences and technology
Feedback
Filters
Gaussian noise
Information, signal and communications theory
Intersymbol interference
ISI
Mathematical models
Mean square error methods
Mean square values
Optimization
Predictive models
Probability
Random variables
Signal and communications theory
Signal, noise
Statistics
Telecommunications and information theory
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Summary:A joint optimization of the decision feedback equalizer (DFE) filter weights and an erasure slicer is proposed in this letter. The feedback weights of the DFE are constrained with an accurate mean square error (MSE) model as the criterion. An erasure slicer is adopted to further decrease error propagation. Two consecutive 1-D optimizations are shown as good as that of a single 2-D optimization. Simulation results verify the performance improvements of the proposed scheme.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2009.08.070425