预失真
邻道功率比
残余物
放大器
正交频分复用
电子工程
多项式与有理函数建模
邻道
计算机科学
非线性失真
非线性系统
算法
多项式的
功率(物理)
信号(编程语言)
宽带
数学
频道(广播)
CMOS芯片
工程类
电信
物理
数学分析
量子力学
程序设计语言
作者
Yufei Suo,Wen Qiao,Chengye Jiang,Boyang Zhang,Falin Liu
出处
期刊:IEEE Microwave and Wireless Components Letters
[Institute of Electrical and Electronics Engineers]
日期:2022-04-07
卷期号:32 (9): 1115-1118
被引量:4
标识
DOI:10.1109/lmwc.2022.3162759
摘要
This letter proposes a residual-fitting modeling method for digital predistortion (DPD) of broadband power amplifiers (PAs), and then constructs a residual-fitting model. To avoid directly modeling strong nonlinearity and memory effect, the model is split into a conversion, fitting, and recovery module. In this way, the nonlinearity and memory effect of the output signal of PAs are reduced after the conversion module, and then the fitting module models the converted signal, finally the behavioral characteristics of PAs are recovered by the recovery module. In the experimental test, a 100 MHz orthogonal frequency division multiplexing (OFDM) signal is used as input signal of a Doherty PA. The experimental results show that compared with the existing augmented real-valued time-delay neural network (ARVTDNN), the proposed residual-fitting memory polynomial-ARVTDNN (MP-ARVTDNN) model with much fewer coefficients lowers normalized mean square error (NMSE) and adjacent channel power ratio (ACPR).
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