设计一种自适应算法,以更好地估计不稳定情况下的环路增益

Cen Liu, Ziyang Feng, Baitao Gong, Jun Wang, Chao Zhang, Changyong Pan
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引用次数: 0

摘要

在全功率进入情况下,传输的信号趋于宽平稳。功率放大器往往工作在一个相对稳定的条件下,其中环路增益也是平稳的。然而,在功率输入不完全的情况下,传输信号变得不稳定,其幅值急剧上升和下降。这种剧烈的信号变化会使功率放大器等模拟器件工作在不稳定的条件下。结果之一是环路增益会随着信号幅度的变化而快速变化。本文提出了一种可变学习率的自适应算法来代替最小二乘法,以获得更好的环路增益估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of an Adaptive Algorithm to Better Estimate the Loop Gain in Unstable Situation
In the full-power entry situation, signal transmitted tends to be wide stationary. Power amplifiers tend to work in a stable condition relatively, where the loop gain is also stationary. However, in a situation of incomplete power input, the transmitted signal becomes unstable, its amplitude increasing and decreasing rapidly. Such violent change in the signal will make the power amplifiers and other analog devices work in unstable conditions. One of the results is that the loop gain will be changed quickly corresponding to the change of the signal amplitude. In this paper, we proposed an adaptive algorithm with changeable learning rate to replace Least Square to get better estimation of loop gain.
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