Undersampling Digital Predistortion Compensation Technology Based on Broadband Signals

Article Preview

Abstract:

Nonlinearity of power amplifier always results in spectrum spreading on input signal. When using digital predistortion technology to compensate power amplifier's nonlinearity, the required sampling frenquence for the output signal of amplifier is times of the original signal. The undersampling predistortion method can reduce the sampling frequency requirements. However, for the broadband signal, due to the significant memory effect of the power amplifier, the performance of undersampling digital predistortion is not satisfactory. In order to improve the undesirable predistortion performamce, this paper presents two kinds of undersampling digital predistortion compensation methods. For different sampling frequencies, the predistortion performances of these two kinds of compensation methods are different.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2381-2384

Citation:

Online since:

March 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Andrade Mello A, Rodrigues H D, de Souza Silva M P. Adaptive digital predistortion to reduce the PA non-linearity[C]. IEEE Antennas and Propagation Society International Symposium, 2003: 228-231.

DOI: 10.1109/aps.2003.1219830

Google Scholar

[2] Billings S A, Fadzil M B. The practical identification of systems with nonlinearities[C]. Proceedings of IFAC Conference on Dentification System Parameter Estimation. 1985: 155-160.

DOI: 10.1016/s1474-6670(17)60551-2

Google Scholar

[3] Zhu Y M. Generalized Sampling Theorem[J]. IEEE Transactions on Circuits System-Ⅱ: Analog and Digital Signal Processing. 1992: 587-588.

DOI: 10.1109/82.168954

Google Scholar

[4] W. Bosch and G. Gatti. Measurement and Simulation of Memory Effects in Predistortion Linearizer[J]. IEEE Trans. on Microwave Theory and Techniques, 1989, 37(12): 1885-1890.

DOI: 10.1109/22.44098

Google Scholar

[5] J. Tsimbinos and K. V. Lever. Sampling frequency requirements for identification and compensation of nonlinear systems, in Proc. 1994 Int. Conf. Acoust., Speech, Signal Processing, Australia, Apr. 1994, pp. Ⅲ513-Ⅲ516.

DOI: 10.1109/icassp.1994.389977

Google Scholar