An orthogonal lookup-table decomposition for accurate IMD prediction in power amplifier with memory

Christophe Quindroit, E. Ngoya, A. Bennadji, J. Nebus
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引用次数: 9

Abstract

In this paper, an new methodology for modeling the nonlinearity in power amplifier (PA) with memory is presented. It is based on the construction of a basis of orthogonal lookup-tables using SVD technique. It provides an effective and systematic way of representing and digitizing dynamic kernels in PA models that account for memory. It is shown that this procedure guarantees a high accuracy in PA intermodulation (IMD) prediction.
基于正交查找表分解的内存功率放大器IMD精确预测
本文提出了一种新的记忆型功率放大器非线性建模方法。它是基于用奇异值分解技术构造正交查找表的一组基。它提供了一种有效和系统的方式来表示和数字化动态核的PA模型,考虑内存。结果表明,该方法保证了广域网互调(IMD)预测的高精度。
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