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

Wang Yong; Ge Jianhua; Ai Bo

doi:10.1587/elex.11.20131044

この記事には本公開記事があります。本公開記事を参照してください。
引用する場合も本公開記事を引用してください。

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

著者情報

キーワード: predistortion (PD), power amplifier (PA), hybrid direct learning (HDL), modified normalized least mean square (MNLMS), measurement noise

ジャーナルフリー早期公開

論文ID: 11.20131044

DOI https://doi.org/10.1587/elex.11.20131044

この記事には本公開記事があります。

The final version of this article is now available: Vol. 11 (2014), No. 3 pp. 20131044-20131044

詳細

抄録

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.

責任著者(Corresponding author)

J-STAGEへの登録はこちら（無料）