Application of recursive least squares method with variable forgetting factor in digital predistortion

Wenxian Song; Guofu Wang

doi:10.1117/12.2685721

15 August 2023 Application of recursive least squares method with variable forgetting factor in digital predistortion

Wenxian Song, Guofu Wang

Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127193T (2023) https://doi.org/10.1117/12.2685721
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China

Abstract

The Power amplifier (PA) is an important part of the wireless communication transmitter. However, the nonlinear characteristics of the power amplifier and the memory effect will lead to the distortion and affect the transmission efficiency of the signal. Digital predistortion technology can reduce the in-band distortion and suppress the spectrum expansion, and it is the most promising technology in power amplifier linearization. In the article , a variable forgetting factor recursive least squares (VFFRLS) is used as the identification algorithm of the predistortion module. The 64-QAM signal and memory polynomial predistortion model are used in experiments. According to the experimental results, compared with the ordinary RLS, the introduction of variable forgetting factor can ameliorate the convergence performance and tracking effect of the predistortion identification algorithm, and it can ameliorate the ability of the predistortion system to suppress spectrum expansion and linearization efficiency.

Citation Download Citation

Wenxian Song and Guofu Wang "Application of recursive least squares method with variable forgetting factor in digital predistortion", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127193T (15 August 2023); https://doi.org/10.1117/12.2685721

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