An iterative receiver for quantized MIMO systems

We study the joint optimization of the quantizer and the iterative Decision Feedback Equalizer (IDE) for the flat multi-input multi-output (MIMO) channel with quantized outputs. Our design is based on a minimum mean square error (MMSE) approach, taking into account the effects of quantization. Our d...

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Bibliographic Details
Published in2012 16th IEEE Mediterranean Electrotechnical Conference pp. 1049 - 1052
Main Authors Mezghani, A., Rouatbi, M., Nossek, J. A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Bit error rate
Covariance matrix
Decision feedback equalizers
MIMO
Quantization
Receivers
Vectors
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ISBN9781467307826
1467307823
ISSN2158-8473
DOI10.1109/MELCON.2012.6196608

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Summary:We study the joint optimization of the quantizer and the iterative Decision Feedback Equalizer (IDE) for the flat multi-input multi-output (MIMO) channel with quantized outputs. Our design is based on a minimum mean square error (MMSE) approach, taking into account the effects of quantization. Our derivation does not make use of the assumption of uncorrelated white quantization errors and considers the correlations of the quantization error with the other signals of the system. Through simulation, we compare the provided IDE to the conventional spatial DFE operating on quantized data in terms of uncoded BER.
ISBN:9781467307826
1467307823
ISSN:2158-8473
DOI:10.1109/MELCON.2012.6196608