DOI码：10.1109/LMWC.2021.3076392

所属单位：中国科学技术大学电子工程与信息科学系

发表刊物：IEEE Microwave and Wireless Components Letters

项目来源：国家自然科学基金 61471333

关键字：Digital predistortion, power amplifier, principal component analysis, signed orthogonal regressor algorithm, low computational complexity.

摘要：Digital predistortion (DPD) of broadband power amplifiers (PAs) requires a large number of parameters to compensate for the severe nonlinear distortion, which may cause considerable computational complexity in the DPD parameter identification process. To solve this problem, we proposed a novel signed orthogonal regressor algorithm (SORA) to simplify the identification of DPD parameters. Based on the signed regressor algorithm and principal component analysis (PCA), the proposed algorithm can eliminate most of the multiplication operations in the identification process and greatly reduce the computational complexity. Furthermore, the proposed SORA is modified to be able to estimate each parameter independently. Experimental results show that compared with the conventional PCA-based method, the proposed two methods can realize comparable linearization performance with significantly lower computational complexity.

合写作者：Wen Qiao,Qiao Liu,Gang Li,Yikang Zhang,Guangjian Wang

第一作者：Hongmin Li (李泓旻)

论文类型：期刊论文

通讯作者：Falin Liu

卷号：31

期号：7

页面范围：869-872

是否译文：否

发表时间：2021-07-01