Power Amplifiers Linearization Based on Digital Predistortion with Memory Effects

A. Barahimi, S. Mirzakuchaki, Saeid Karami
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Abstract

Power amplifiers require linearization in order to reduce adjacent inter-modulation distortion without losing efficiency. Digital predistortion is a cost effective method to achieve this goal and it needs an accurate model of the amplifier. Most of the amplifier models are based on memoryless modeling. This kind of modeling is simple but it’s not accurate enough if linearization is important; and also for wide band modulations like QAM, we should consider the memory effects of power amplifiers.
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基于记忆效应的数字预失真功率放大器线性化
功率放大器需要线性化,以便在不损失效率的情况下减少相邻的调制间失真。数字预失真是实现这一目标的一种经济有效的方法,它需要一个精确的放大器模型。大多数放大器模型都是基于无内存建模的。这种建模很简单,但如果线性化很重要,它就不够精确;对于像QAM这样的宽带调制,我们应该考虑功率放大器的记忆效应。
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