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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

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.

Type
Paper
Information
Mathematical Structures in Computer Science , Volume 24 , Special Issue 5: Mathematical Method in Intelligent Computing and Automation , October 2014 , e240518
Copyright
Copyright © Cambridge University Press 2014 

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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.

References

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