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Segmented Statistical Error-Based Adaptive Method for Linearization of Power Amplifiers
IEEE Microwave and Wireless Components Letters ( IF 2.9 ) Pub Date : 2022-03-25 , DOI: 10.1109/lmwc.2022.3160019
Jiayan Wu 1 , Songbai He 1 , Fei You 1 , Jun Peng 1 , Peng Hao 2 , Caoyu Li 2 , Zehua Xiao 1 , Yaojia Fan 1 , Xuelei Chen 1
Affiliation  

In this letter, we present an adaptive method for linearizing radio frequency (RF) power amplifier (PA). The input and output error is segmented in light of the signal magnitude to improve the convergence speed of the linearizer’s parameter optimization. The feedback bandwidth and the sampling rate of the feedback loop are only 1/8 of the input signal with the proposed method. Experimental results show that the convergence speed of the proposed method is eight times faster than that of the conventional method, and the adjacent channel power ratio (ACPR) is improved from −35.18 to −46.91 dB.

中文翻译:


基于分段统计误差的功率放大器线性化自适应方法



在这封信中,我们提出了一种用于线性化射频 (RF) 功率放大器 (PA) 的自适应方法。根据信号幅度对输入和输出误差进行分段,以提高线性化器参数优化的收敛速度。采用所提出的方法,反馈环路的反馈带宽和采样率仅为输入信号的1/8。实验结果表明,该方法的收敛速度比传统方法快8倍,邻道功率比(ACPR)从-35.18 dB提高到-46.91 dB。
更新日期:2022-03-25
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