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Research on digital predistortion based on adaptive algorithms†

Published online by Cambridge University Press:  04 September 2014

JING DAI  and
RUI ZHOU
JING DAI
Affiliation:
Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang, China Email: daijing6615@163.com; zhourui2088@163.com
RUI ZHOU
Affiliation:
Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang, China Email: daijing6615@163.com; zhourui2088@163.com
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Abstract

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In wireless broadband communication systems, the inherent non-linearity of power amplifiers creates spectral growth beyond the signal bandwidth, which interferes with adjacent channels. It also causes distortions within the signal bandwidth. In this paper, we study five digital predistortion algorithms for linearising two different non-linear memory power amplifier models. The simulation results show that the proposed digital predistorter using different algorithms can improve the in-band distortion and out of band spreading in different ways. In particular, the DLMS algorithm with fast convergence can significantly suppress spectral regrowth (by 60dB), effectively compensating for the non-linearity of the power amplifier.

Footnotes

†

This work was supported by the Dr. Start Fund of Liaoning Province under project Number 20071003 and the Discipline Construction Fund of the College of Information and Control Engineering of Shenyang Jianzhu University.

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