Efficient Signal Alignment Algorithm for Undersampling Digital Predistortion

DOI number:10.1109/LMWC.2022.3192925

Affiliation of Author(s):中国科学技术大学

Teaching and Research Group:电子工程与信息科学系

Journal:IEEE Microwave and Wireless Components Letters

Funded by:国家自然科学基金 61471333

Key Words:Basis manifold regularization (BMR), digital predistortion (DPD), power amplifiers (PAs), signal alignment, undersampling

Abstract:Undersampling is an effective way to reduce the cost of digital predistortion (DPD), but it poses challenges for signal alignment, especially for fractional delay alignment. In this letter, a Taylor expansion-based method for fractional delay approximation solution is proposed. To verify the proposed alignment algorithm, the basis manifold regularization (BMR) is introduced to ensure that the DPD can converge to a satisfactory performance even at an ultralow sampling rate. Simulations and experimental tests demonstrate that the proposed method not only has high alignment accuracy but also low complexity in comparison with traditional methods.

First Author:Chengye Jiang (姜成业)

Co-author:Wen Qiao,Guichen Yang

Indexed by:Journal paper

Correspondence Author:Falin Liu

Discipline:Engineering

Document Type:J

Volume:32

Issue:12

Page Number:1487-1490

Translation or Not:no

Date of Publication:2022-12-06

Included Journals:SCI、EI