DOI码：10.1109/TBC.2023.3312921

所属单位：中国科技大学电子工程与信息科学系

发表刊物：IEEE Transactions on Broadcasting

项目来源：国家自然科学基金

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

摘要：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.

合写作者：Chengye Jiang,Guichen Yang,Qianqian Zhang

第一作者：Reblong Han (韩仁龙)

论文类型：期刊论文

通讯作者：Falin Liu

论文编号：10.1109/TBC.2023.3312921

学科门类：工学

文献类型：J

卷号：70

期号：1

页面范围：334-346

是否译文：否

发表时间：2024-03-07

收录刊物：SCI、EI