Decomposed Vector Rotation-Based Behavioral Modeling for Digital Predistortion of RF Power Amplifiers
Decomposed Vector Rotation-Based Behavioral Modeling for Digital Predistortion of RF Power Amplifiers
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DOI：
10.1109/tmtt.2014.2387853
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发表时间：
2015-02-01
影响因子：
4.3
通讯作者：
Zhu, Anding
中科院分区：
文献类型：
--
作者：
Zhu, Anding
提出了一种新的射频功率放大器（PA）数字预失真行为模型。它是来自一个修改形式的规范分段线性（CPWL）的功能，使用分解矢量旋转（DVR）技术。在该模型中，非线性基函数由分段矢量分解构造，这与传统的沃尔泰拉级数所用的基函数完全不同。理论分析表明，该模型是更加灵活的非Volterra行为的RF PA建模，实验结果证实，新的模型可以产生优良的性能与相对较少的系数相比，传统的模型。
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.