Signed Orthogonal Regressor Algorithm for Digital Predistortion of Power Amplifiers

DOI number:10.1109/LMWC.2021.3076392

Affiliation of Author(s):中国科学技术大学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:Digital predistortion, power amplifier, principal component analysis, signed orthogonal regressor algorithm, low computational complexity.

Abstract: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.

First Author:Hongmin Li (李泓旻)

Co-author:Wen Qiao,Qiao Liu,Gang Li,Yikang Zhang,Guangjian Wang

Indexed by:Journal paper

Correspondence Author:Falin Liu

Volume:31

Issue:7

Page Number:869-872

Date of Publication:2021-07-01