Decomposed Vector Combination-Based Low-Complexity Behavioral Model for Digital Predistortion of RF Transmitters

DOI number:10.1109/TBC.2023.3312921

Affiliation of Author(s):中国科技大学电子工程与信息科学系

Journal:IEEE Transactions on Broadcasting (Early Access )

Funded by:国家自然科学基金

Key Words:Behavioral modeling, digital predistortion (DPD), greedy algorithm, model complexity, piecewise function, power amplifiers (PAs), vector decomposition, Volterra variant.

Abstract:In this paper, we present a novel behavioral modeling technique based on decomposed vector combination (DVC) for digital predistortion (DPD) of RF Transmitters. The basis function of the proposed DVC model consists of a piecewise function-based magnitude term and a linear phase-combination-based phase term. The novel DVC basis functions are still linear-in-parameters and go beyond the classical Volterra series. Compared with classical DPD models, the DVC model has a theoretically more powerful modeling capability through a richer form of basis functions. A novel basis function multiplexing-based model search algorithm, DVC search (DVCS), consisting of two main operations: nonlinear extension and phase rotation, is also proposed in this paper. The DVCS not only solves the practical deployment problem of the DVC model but also balances the performance and hardware complexity of the model. Two different power amplifiers (PAs) are used for comparison experiments to verify the performance of the DVCS model. The results of the experimental tests have demonstrated that the DVCS model can achieve an excellent trade-off between linearization performance and hardware complexity.

First Author:Reblong Han (韩仁龙)

Co-author:Chengye Jiang,Guichen Yang,Qianqian Zhang

Indexed by:Journal paper

Correspondence Author:Falin Liu

Document Code:10.1109/TBC.2023.3312921

Discipline:Engineering

Document Type:J

Volume:70

Issue:1

Page Number:334-346

Translation or Not:no

Date of Publication:2024-03-07

Included Journals:SCI、EI