Abstract
The purpose of this paper is to compare two estimation methods when identifying the coefficients of the Simplified Volterra Series (SVS) model, in order to linearize a class AB GaN Power Amplifier (PA) driven by a 20-MHz LTE-A signal. First, a Digital Predistorter (DPD) design using the cholesky decomposition based inversion method and the Least Square QR (LSQR) algorithm is carried out, and next the performances of each method are analyzed in terms of computational complexity and suppressing distortions capability. The co-simulation test results show that the LSQR performs better than Cholesky decomposition in terms of Adjacent Channel Power Ratio (ACPR) and Normalized Mean Square Error (NMSE) by a margin of 3 dB and 4 dB, receptively.
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Acknowledgment
The authors wish to thank Prof. Fadhel Ghannouchi and Dr. Ramzi. Darraji from the iRadio Lab, University of Calgary, AB, Canada for providing the power amplifier measurements.
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Rezgui, H., Rouissi, F., Ghazel, A. (2018). Comparative Study of Estimation Algorithms for Predistorter Coefficients of GaN Power Amplifier. In: Boudriga, N., Alouini, MS., Rekhis, S., Sabir, E., Pollin, S. (eds) Ubiquitous Networking. UNet 2018. Lecture Notes in Computer Science(), vol 11277. Springer, Cham. https://doi.org/10.1007/978-3-030-02849-7_1
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DOI: https://doi.org/10.1007/978-3-030-02849-7_1
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