Optimization of digital predistortion models for RF power amplifiers using a modified differential evolution algorithm

作     者：Devi, Sanjika R., V Kalyan, Robin Bindu, K. R. Kurup, Dhanesh G. 

作者机构：Amrita Vishwa Vidyapeetham Dept Elect & Commun Engn Amrita Sch Engn Bengaluru India Indian Space Res Org ISRO UR Rao Satellite Ctr Commun Syst Grp Bengaluru India 

出 版 物：《AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS》 (电子学与通信技术文献)

年 卷 期：2020年第124卷

页      面：153323-153323页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：RF power amplifier Digital predistortion Modified differential evolution algorithm 

摘      要：This paper, investigates and presents the optimal parameter identification of digital pre-distortion (DPD) models for radio frequency power amplifiers (RF PAs) using a modified differential evolution (MDE) based optimization algorithm. Compared to the conventional exhaustive search method which is computationally intensive, our proposed approach enables the identification of a best-fit DPD model from a combinatorially large model space in a short time. In addition, applying information criteria based objective functions in the optimization process enables us to achieve sparse selection of dynamical models, which balances the model accuracy and model complexity. Experimental validation on a GaN based class AB power amplifier illustrates that, our proposed approach was able to accurately identify complexity reduced optimal DPD models without compromising the modeling accuracy. (C) 2020 Elsevier GmbH. All rights reserved.