Sparse Model Selection of Digital Predistorters Using Subspace Pursuit

Juan A. Becerra, Daniel Herrera, M. J. Madero-Ayora, C. Crespo-Cadenas
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引用次数: 4

Abstract

This communication presents a new technique for the digital predistortion of power amplifiers (PAs) based on sparse behavioral models. The subspace pursuit algorithm formulation is adapted to work in the nonlinear series framework. Experiments driven on a test bench based on a GaN PA driven by a 15-MHz filter bank multicarrier (FBM C) signal were conducted in order to validate the algorithm. Experimental results in a digital predistortion scenario and the comparison with the orthogonal matching pursuit highlight the enhancement of this pruning method.
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基于子空间追踪的数字预失真器稀疏模型选择
本文提出了一种基于稀疏行为模型的功率放大器数字预失真新技术。该子空间追踪算法公式适用于非线性序列框架。为了验证该算法的有效性,在15 mhz滤波器组多载波(FBM C)信号驱动的GaN - PA测试台上进行了实验。在数字预失真场景下的实验结果以及与正交匹配追踪的比较表明了该剪枝方法的增强效果。
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