An adaptive predistortion for power amplifier nonlinearity in the presence of measurement noise

IEICE Electronics Express

Ai Bo¹  Wang Yong²  Ge Jianhua² 

[1] The State Key Lab. of RCS, Beijing Jiaotong University;The State Key Lab. of ISN, Xidian University

关键词: predistortion (PD);    power amplifier (PA);    hybrid direct learning (HDL);    modified normalized least mean square (MNLMS);    measurement noise;   

DOI  :  10.1587/elex.11.20131044

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

References(8)In this paper, we propose a robust adaptive predistortion (PD) scheme based on a hybrid direct learning (HDL) structure for mitigating the effects of measurement noise derived from the feedback path of power amplifier (PA). In particular, by means of an additional gradient adaptive term, a modified normalized least mean square (MNLMS) algorithm was developed to identify the coefficients of PA forward model with relative long-term memory in the noisy feedback environments. The performance of this PD scheme is validated with numerical simulations.

【 授权许可】

Unknown