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An adaptive Volterra predistorter for the linearization of RF high power amplifiers

机译:用于RF高功率放大器线性化的自适应Volterra Predisti otter

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An efficient digital baseband predistortion linearizer is presented to compensate for nonlinear distortions induced by RE high power amplifiers in wireless communication Systems. The proposed approach utilizes an indirect learning architecture with a fast Recursive Least Squares (RLS) filtering algorithm, implemented using V-vector algebra, to update the coefficients of a Volterra-based predistorter. There is no requirement for an initial identification of the nonlinear characteristics of HPA as in linearizers based on conventional pth-order inverse methods. Simulation results show that that good performance and low computational complexity are achieved in the linearization of both narrow and wide bandwidth system.
机译:提出了一种有效的数字基带预测线性化器以补偿无线通信系统中的RE高功率放大器引起的非线性失真。所提出的方法利用具有快速递归最小二乘(RLS)滤波算法的间接学习架构,使用V矢量代数实现,以更新基于Volterra的预失真器的系数。基于常规PTH级逆方法,不需要初始识别HPA的非线性特性,如线性化器中的。仿真结果表明,在窄和宽带系统的线性化中实现了良好的性能和低计算复杂性。

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