A Piecewise RLS-Based Digital Predistortion Scheme for Power Amplifier

Zhisheng Jiang, Jingqi Wang, Wen Wu
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引用次数: 1

Abstract

The recursive least square(RLS) algorithm is a popular candidate for extracting parameters in digital pre-distortion because of its fast convergence and high accuracy. However, it suffers from instable convergence which leads to undesirable peak values on the error curve. In this paper, a piecewise RLS-based scheme for RF power amplifier digital pre-distortion is proposed. The proposed scheme divides the input signal into two categories, peak and non-peak, then by using RLS algorithm, it generates two sets of pre-distortion parameter, which are subsequently applied to peak signals and non-peak signals respectively. Simulation results show that the piecewise RLS is superior to the traditional method in terms of the stability and the adjacent channel power ratio (ACPR) improvement.
一种基于分段rls的功率放大器数字预失真方案
递推最小二乘(RLS)算法以其收敛快、精度高的优点,成为数字预失真中提取参数的热门方法。然而,它的收敛性不稳定,导致误差曲线上出现不希望出现的峰值。提出了一种基于分段rls的射频功率放大器数字预失真方案。该方案将输入信号分为峰值和非峰值两类,然后利用RLS算法生成两组预失真参数,分别应用于峰值信号和非峰值信号。仿真结果表明,分段RLS在稳定性和相邻信道功率比(ACPR)改善方面优于传统方法。
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