Adaptive Digital Predistortion Based on Hybrid Indirect Learning Structure with Variable Step-Size for Wideband HPA
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/article/10.1007/s11277-017-4338-5/fulltext.html
Reference13 articles.
1. Liu, Y. J., Chen, W., Zhou, J., Zhou, B., & Ghannouchi, F. (2013). Digital predistortion for concurrent dual-band transmitters using 2-D modified memory polynomials. IEEE Transactions on Microwave Theory and Techniques, 61(1), 281–290.
2. Haykin, S. O. (2013). Adaptive filter theory (5th ed.). Upper Saddle River: Prentice Hall Press.
3. Mandic, D. P. (2004). A generalized normalized gradient descent algorithm. IEEE Signal Processing Letters, 11(2), 115–118.
4. Rawat, M., Ghannouchi, F. M., & Rawat, K. (2013). Three-layered biased memory polynomial for dynamic modeling and predistortion of transmitters with memory. IEEE Transactions Circuits and Systems I: Regular Papers, 60(3), 768–777.
5. Morgan, D. R., Ma, Z., & Ding, L. (2003). Reducing measurement noise effects in digital predistortion of RF power amplifiers. In IEEE ICC (pp. 2436–2439).
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1. Adaptive predistortion algorithm based on the multilinear multiplier fusion;Concurrency and Computation: Practice and Experience;2018-05-25
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