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Decomposed Vector Rotation-Based Behavioral Modeling for Digital Predistortion of RF Power Amplifiers

机译:基于分解矢量旋转的射频功率放大器数字预失真行为建模

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摘要

A new behavioral model for digital predistortion of radio frequency (RF) power amplifiers (PAs) is proposed in this paper. It is derived from a modified form of the canonical piecewise-linear (CPWL) functions using a decomposed vector rotation (DVR) technique. In this model, the nonlinear basis function is constructed from piecewise vector decomposition, which is completely different from that used in the conventional Volterra series. Theoretical analysis has shown that this model is much more flexible in modeling RF PAs with non-Volterra-like behavior, and experimental results confirmed that the new model can produce excellent performance with a relatively small number of coefficients when compared to conventional models.
机译:提出了一种新的射频(RF)功率放大器(PA)数字预失真行为模型。它是使用分解矢量旋转(DVR)技术从规范分段线性(CPWL)函数的修改形式中得出的。在该模型中,非线性基函数由分段矢量分解构成,这与常规Volterra级数中使用的完全不同。理论分析表明,该模型在建模具有非Volterra行为的RF PA时更加灵活,实验结果证实,与传统模型相比,新模型可以以相对较少的系数产生出色的性能。

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