Blind IR Channel Equalization Based on Second-Order Statistics

Direct blind equalization of single-input-single-output (SISO) infinite-impulse-response (IIR) channels is investigated by oversampling the channel output. Only second-order statistics is required and the channel order need not to be known. We first transform the oversampled channel into a special s...

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Bibliographic Details
Published in2006 IEEE 63rd Vehicular Technology Conference Vol. 5; pp. 2334 - 2338
Main Authors Fangjiong Chen, Sam Kwong, Wenfei Nie, Gang Wei, Fei Ji
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Additive noise
Blind equalizers
Computer simulation
Finite impulse response filter
Intersymbol interference
Parameter estimation
Predictive models
Sampling methods
Sensor arrays
Statistics
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Summary:Direct blind equalization of single-input-single-output (SISO) infinite-impulse-response (IIR) channels is investigated by oversampling the channel output. Only second-order statistics is required and the channel order need not to be known. We first transform the oversampled channel into a special single-input-multiple-output (SIMO) model. Then a linear prediction approach is applied to partially estimate the model parameters. Based on the estimated parameters, zero-forcing equalizers and MMSE equalizers are developed and their efficiency are evaluated by computer simulations
ISBN:9780780393912
0780393910
ISSN:1550-2252
DOI:10.1109/VETECS.2006.1683274