FPGA-implementation of dynamic time delay neural network for power amplifier behavioral modeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Surfaces, Coatings and Films,Hardware and Architecture,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s10470-012-9857-0.pdf
Reference17 articles.
1. Zhu, A., Pedro, J., & Brazil, T. (2006). Dynamic deviation reduction-based Volterra behavioral modeling of RF power amplifiers. IEEE Transactions on Microwave Theory and Techniques, 54 (12), 4323–4332.
2. Ku, H., & Kenney, J.S. (2003). Behavioral modeling of nonlinear RF power amplifiers considering memory effects. IEEE Transactions on Microwave Theory and Techniques, 51(12), 2495–2504.
3. Cao, Y., Chen, X., & Wang, G. (2009). Dynamic behavioral modeling of nonlinear microwave devices using real-time recurrent neural network. IEEE Transactions on Electron Devices, 56(5), 1020–1026.
4. Liu, T., Boumaiza, S., & Ghannouchi, F. M. (2004). Dynamic behavioral modeling of 3G power amplifiers using real-valued time-delay neural networks. IEEE Transactions on Microwave Theory and Techniques, 52(3), 1025–1033.
5. Mkadem, F., & Boumaiza, S. (2011). Physically inspired neural network model for RF power amplifier behavioral modeling and digital predistortion. IEEE Transactions on Microwave Theory and Techniques, 59(4), 913–923.
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