Adaptive predistortion of IIR Hammerstein systems using the Nonlinear Filtered-x LMS algorithm
Adaptive predistortion of IIR Hammerstein systems using the Nonlinear Filtered-x LMS algorithm
复制标题
使用非线性 Filtered-x LMS 算法对 IIR Hammerstein 系统进行自适应预失真
DOI：
10.1109/csndsp.2008.4610765
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
E. Abd
中科院分区：
文献类型：
--
作者：
L. Gan;E. Abd
本文介绍了一种用IIR Hammerstein模型描述的非线性系统的自适应预失真方法。自适应预失真器被建模为一个IIR维纳系统。预失真器的线性和非线性块的参数估计同时使用非线性滤波-x最小均方（NFxLMS）算法。NFxLMS算法是在IIR维纳预失真器的参数在自适应过程中缓慢变化的假设下推导出来的。仿真研究表明，采用NFxLMS算法的预失真器可以很好地补偿IIR Hammerstein系统的非线性失真。
Adaptive predistortion of nonlinear systems described using IIR Hammerstein models is introduced in this paper. The adaptive predistorter is modeled as an IIR Wiener system. The parameters of the linear and nonlinear blocks of the predistorter are estimated simultaneously using the nonlinear filtered-x least mean squares (NFxLMS) algorithm. The NFxLMS algorithm is derived under the assumption that the parameters of the IIR Wiener predistorter are changing slowly during adaptation. Simulation study shows that the suggested predistorter using the NFxLMS algorithm can well compensate the nonlinear distortion of the IIR Hammerstein system.