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Blind equalization and estimation of digital communication FIR channels using cumulant matching

机译:使用累积量匹配进行数字通信FIR信道的盲均衡和估计

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摘要

The problem of blind estimation and equalization of digital communication FIR (finite impulse response) channel is considered. The channel parameters are estimated by nonlinear batch optimization of a quadratic cumulant matching criterion involving second- and fourth-order cumulants of the received data. A new algorithm is proposed for (asymptotically) globally convergent, linear estimation of the FIR channel parameters where the FIR model order is not necessarily known. The nonlinear cumulant matching algorithm is initialized by the linear parameter estimator. The estimated channel impulse response is then used to construct a linear equalizer. An illustrative simulation example using QAM (quadrature amplitude modulation) signals is presented.
机译:考虑了数字通信FIR(有限脉冲响应)信道的盲估计和均衡问题。通过涉及接收数据的二阶和四阶累积量的二次累积量匹配准则的非线性批优化来估计信道参数。提出了一种新算法,用于(渐近地)对FIR信道参数进行全局收敛的线性估计,其中FIR模型的阶数不一定是已知的。非线性累积量匹配算法由线性参数估计器初始化。然后,将估计的信道冲激响应用于构建线性均衡器。给出了使用QAM(正交幅度调制)信号的说明性仿真示例。

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