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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 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