Mixture of Experts Approach for Behavioral Modeling of RF Power Amplifiers

被引：6

作者：

Brihuega, Alberto ^{[1
]}

Abdelaziz, Mahmoud ^{[2
]}

Anttila, Lauri ^{[1
]}

Li, Yue ^{[3
]}

Zhu, Anding ^{[3
]}

Valkama, Mikko ^{[1
]}

机构：

[1] Tampere Univ, Dept Elect Engn, Tampere, Finland

[2] Zewail City Sci & Technol, Giza, Egypt

[3] Univ Coll Dublin, Sch Elect & Elect Engn, Dublin 4, Ireland

来源：

2021 IEEE TOPICAL CONFERENCE ON RF/MICROWAVE POWER AMPLIFIERS FOR RADIO AND WIRELESS APPLICATIONS (PAWR) | 2021年

关键词：

5G new radio; behavioral modeling; power amplifiers; nonlinear distortion; piece-wise polynomials; DIGITAL PREDISTORTION;

D O I：

10.1109/PAWR51852.2021.9375546

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Piece-wise (PW) behavioral models are commonly adopted when modeling RF power amplifiers (PAs) that exhibit strong amplitude dependent nonlinear distortion characteristics. In this paper, we consider a new PW model for PAs based on the mixture of experts (ME) approach. We first introduce the ME framework theory while also extend it such that it can be applied to model complex baseband signals and nonlinearities. Then, we show how the ME model allows overcoming some of the intrinsic shortcomings that existing PW behavioral models commonly exhibit, which translates into improved modeling accuracy. The proposed solution is validated with extensive RF measurements on a load modulated balanced PA at 2.1 GHz, excited by a 320 MHz OFDM signal, and is benchmarked against several state-of-the art PW models.

引用

页码：1 / 3

页数：3

共 9 条

[1] Digital Predistortion Using a Vector-Switched Model [J].