基于输出过采样的IIR信道迫零盲均衡

本文提出一种新的针对单输入单输出IIR信道的盲均衡算法.首先通过对信道输出的过采样建立特殊的多信道模型.对多信道模型的输出应用线性预测,证明了预测误差只包含多信道模型冲激响应在第一个时隙的参数,并给出最佳线性预测器的长度.通过预测误差的协方差矩阵可以求解该冲激响应参数.基于该参数可构造出不同时延的迫零均衡器.仿真结果显示了本文算法的有效性.

Blind Zero-Forcing Equalization of IIR Channels Based on Oversampling

Direct blind equalization of single-input-single-output(SISO) IIR channel is investigated.Only second-order statistics is required and the channel order need not be known.By oversampling the channel output,we transform the SISO IIR channel into a special Single-Input-Multiple-Output(SIMO) model,in which the subchannels have identical autoregressive(AR) part.A linear prediction approach is applied to the output of this SIMO model and we prove that the prediction error contains the parameters of the first time slot of the model impulse response.These parameters then can be estimated from the covariance matrix of the prediction error.Based on the estimated parameters,zero-forcing equalizers with different delay can be developed.Computer simulation results illustrate the effectiveness of the proposed algorithm.