Orthonormal-basis power amplifier model reduction

A. Soltani Tehrani, H. Cao, T. Eriksson, C. Fager
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引用次数: 3

Abstract

A new power amplifier behavioral model is proposed in this paper. The memory polynomial model is combined with a Kautz-Volterra like filter to construct this novel parallel three-box model. With this technique, the number of parameters required to obtain a certain accuracy can be reduced, and a higher nonlinear order and longer memory depth can be modeled compared to the Kautz-Volterra model. Results from modeling a power amplifier are presented and compared to other models.
正交基功率放大器模型简化
提出了一种新的功率放大器行为模型。将记忆多项式模型与类Kautz-Volterra滤波器相结合,构建了这种新型的并行三盒模型。与Kautz-Volterra模型相比,使用这种技术可以减少获得一定精度所需的参数数量,并且可以建模更高的非线性阶数和更长的记忆深度。给出了功率放大器的建模结果,并与其他模型进行了比较。
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