预失真
奇异值分解
放大器
线性化
算法
计算机科学
矩阵分解
基质(化学分析)
奇异值
控制理论(社会学)
数学
电信
非线性系统
带宽(计算)
人工智能
物理
特征向量
材料科学
控制(管理)
量子力学
复合材料
标识
DOI:10.2991/icista.2013.34
摘要
Adaptive algorithm plays an important role in digital predistortion for the linearization of power amplifiers. In this paper, a new approach which uses least square (LS) adaptive algorithm with singular value decomposition (SVD) is presented. When calculating inversion matrix of power amplifier model, if combined with singular value decomposition, LS can not only excavate important structural information of the matrix, but also reduce the dimension of the matrix, and therefore, improve the stability and decrease computation complexity. Keywords-power amplifier; digital predistortion; LS; SVD
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