Abstract
The research of radio-frequency (RF) power amplifier model has always been one of the most important breakthroughs in the emitter feature extraction and specific emitter identification. Through the establishment of RF power amplifier model, we can extract feature parameters of the specific emitter. In this paper, we discuss the research issues of the specific emitter feature extraction and individual identification based on RF power amplifier nonlinear model, summarize the nonlinear distortion and modeling method of the power amplifier. Furthermore, we analyzed the applicability of these models.
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References
Cripps, S.: RF Power Amplifiers for Wireless Communications. Artech House, Boston (2006)
Saleh, A.A.M.: Frequency-dependent and frequency-independent nonlinear models of TWT amplifiers. IEEE Trans. Comms. COM-29(11), 1715–1720 (1981)
Carroll, T.L.: A nonlinear dynamics method for signal identification. Chaos Interdisc. J. Nonlinear Sci. 17, 023109 (2007)
Gard, K.G., Larson, L.E., Steer, M.B.: The impact of RF front-end characteristics on the spectral regrowth of communications signals. IEEE Trans. Microw. Theory Techn. 53(6), 2179–2186 (2005)
Doherty, W.H.: A new high efficiency power amplifier for modulated waves. Proc. IRE 24, 1163–1182 (1936)
Sokal, N.O., Sokal, A.D.: Class E – a new class of high-efficiency tuned single-ended switching power amplifier. IEEE J. Solid-State Circuits 10, 168–176 (1975)
Grebennikov, A.: Circuit design technique for high efficiency class F amplifiers. In: 2000 IEEE MTT-S International Microwave Symposium Digest, vol. 2, pp. 771–774, June 2000
Dettmann, I., Wu, L., Betroth, M.: Comparison of a single-ended class AB, a balance and a doherty power amplifier. In: Asia-Pacific Conference Proceedings Microwave Conference Proceedings, APMC 2005, vol. 2, pp. 1167–1170, 2005
Brabetz, T., Fusco, V.F.: Voltage-driven Class-E amplifier and applications. Proc. IEE Microw. Antennas Propag. 152(5), 373–377 (2005)
Morgan, D.R., Ma, Z., Kim, J., Zierdt, M.G., Pastalan, J.: A generalized memory polynomial model for digital predistortion of RF power amplifiers. IEEE Trans. Sign. Proc 54(10), October 2006
Carrubba, V.: The continuous class-F mode power amplifier. In: Proceedings of the 40th European Microwave Conference, pp. 432–435, September 2010
Boumaiza, S.: Thermal memory effects modeling and compensation in RF power amplifiers and predistortion linearizers. IEEE Trans. Mircowave Theory Tech. 51, 2427–2433 (2004)
Liu, T., Boumaiza, S., Sesay, A.B., Ghannouchi, F.M.: Quantitative measurements of memory effects in wideband RF power amplifiers driven by modulated signals. IEEE Microw. Wireless Compon. Lett. 17(1), 79–81 (2007)
Rönnow, D., Wisell, D.H., Isaksson, M.: Three-tone characterization of nonlinear memory effects in radio-frequency power amplifiers. IEEE Trans. Instrum. Meas. 56(6), 2646–2657 (2007). Author, F.: Contribution title. In: 9th International Proceedings on Proceedings, pp. 1–2. Publisher, Location (2010)
Ku, H., Kenney, J.S.: Behavioral modeling of nonlinear RF power amplifiers considering memory effects. IEEE Trans. Microw. Theory Tech. 51(12), 2495–2504 (2003)
de Carvalho, N.B., Pedro, J.C.: A comprehensive explanation of distortion sideband asymmetries. IEEE Trans. Microw. Theory Tech. 50(9), 2090–2101 (2002)
Angelov, I., Zirath, H., Rorsman, N.: Validation of a nonlinear transistor model by power spectrum characteristics of HEMT’s and MESFET’s. IEEE Trans. Microw. Theory Tech. 43(5), 1046–1052 (1995)
Aaen, P.H., Plá, J.A., Wood, J.: Modeling and Characterization of RF and Microwave Power FETs. Cambridge University Press, Cambridge (2007)
Rapp, C.: Effects of HPA-nonlinearity on a 4-DPSK/OFDM-signal for a digital sound broadcasting signal, pp. 179–184 (1991)
And, A.S.S., Parker, R.S.: Tailored sequence design for third-order volterra model identification. Ind. Eng. Chem. Res. 46(3), 818–829 (2006)
Ku, H., Kenney, J.S.: Behavioral modeling of nonlinear RF power amplifiers considering memory effects. IEEE Trans. Micro. Theory Tech. 51(12), 2495–2504 (2003)
Zhu, A., Brazil, T.J.: Behavioral modeling of RF power amplifiers based on pruned Volterra series. IEEE Microw. Wirel. Compon. Lett. 14(12), 563–565 (2004). LNCS Homepage. http://www.springer.com/lncs. Accessed 21 Nov 2016
Ibnkahla, M., Bershad, N.J., Sombrin, J., Castanié (Castanie), F.: Neural network modeling and identification of nonlinear channels with memory: algorithms applications and analytic models. IEEE Trans. Signal Process. 46(5), 1208–1222 (1998)
Isaksson, M., Wisell, D., Ronnow, D.: A comparative analysis for behavioral models of RF power amplifiers. IEEE Trans. Micro. Theory Tech. 54(1), 348–359 (2006)
Ellis, K., Serinken, N.: Characteristics of radio transmitter fingerprints. Radio Sci. 36, 585–597 (2001)
Acknowledgment
This paper is funded by the National Natural Science Foundation of China (61771154), and the International Exchange Program of Harbin Engineering University for Innovation-oriented Talents Cultivation.
Meantime, all the authors declare that there is no conflict of interests regarding the publication of this article.
We gratefully thank of very useful discussions of reviewers.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Chen, X., Chang, J., Han, H., Wu, R., Lin, Y. (2019). Research on Nonlinear Modeling for RF Power Amplifier. In: Liu, S., Yang, G. (eds) Advanced Hybrid Information Processing. ADHIP 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-19086-6_51
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