Artificial neural network model of SOS-MOSFETs based on dynamic large-signal measurements

IEEE Transactions on Microwave Theory and Techniques

Volumn 62, Issue 3, 2014, Pages 491-501

  Ko, Youngseo ^a,b   Roblin, Patrick ^a   Zarate De Landa, Andres ^c   Reynoso Hernandez, J Apolinar ^c   Nobbe, Dan ^d   Olson, Chris ^d   Martinez, Francisco Javier ^e  

^a The Ohio State University   (United States)

^b TRIQUINT SEMICONDUCTOR   (United States)

^c CENTRO DE INVESTIGACIÓN CIENTÍFICA Y DE EDUCACIÓN SUPERIOR DE ENSENADA   (Mexico)

^d Peregrine Semiconductor   (United States)

^e INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

Artificial neural network (ANN); large signal network analyzer (LSNA); memory effects; MOSFET; parasitic bipolar junction transistor (P BJT); real time active load pull (RTALP)

Indexed keywords

ELECTRIC NETWORK TOPOLOGY; HETEROJUNCTION BIPOLAR TRANSISTORS; MOSFET DEVICES; NEURAL NETWORKS; SYSTEMS ENGINEERING;

LARGE-SIGNALS; LOAD-PULL; MEMORY EFFECTS; MOS-FET; PARASITIC BIPOLAR JUNCTION TRANSISTOR (P-BJT);

STATIC RANDOM ACCESS STORAGE;

EID: 84898598760     PISSN: 00189480     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMTT.2014.2298372     Document Type: Article

References (20)

1. P. Roblin and H. Rohdin, High-Speed Heterostructure Devices, 1st ed. Cambridge, U.K.: Cambridge Univ. Press, 2002.
2. P. Roblin, D. E. Root, J. Verspecht, Y. Ko, and J. P. Teyssier, "New trends for the nonlinear measurement and modeling of high-power RF transistors and amplifiers with memory effects," IEEE Trans. Microw. Theory Techn., vol. 60, no. 6, pp. 1964-1978, Jun. 2012.
3. D. E. Root, "Future device modeling trends," IEEE Microw.Mag., vol. 13, no. 7, pp. 45-59, Nov. 2012.
4. D. E. Root, F. S. , and J. Meyer, "Technology independent large signal non quasi-static FET models by direct construction from automatically characterized device data," in Proc. 21st Eur.Microw. Conf., Stüttgart, Germany, 1991, vol. 2, pp. 927-932. (Pubitemid 23587543)
5. J. Verspecht and D. E. Root, "Polyharmonic distortion modeling," IEEE Microw. Mag., vol. 7, no. 3, pp. 44-57, Jun. 2006. (Pubitemid 43876323)
6. S. M. Homayouni, D.-P. Schreurs, G. Crupi, and B. K. Nauwelaers, "Technology-independent non-quasi-static table-based nonlinear model generation," IEEE Trans. Microw. Theory Techn., vol. 57, no. 12, pp. 2845-2852, Dec. 2009.
7. M. C. Curras-Francos, "Table-based nonlinear HEMT model extracted from time-domain large-signal measurements," IEEE Trans. Microw. Theory Techn., vol. 53, no. 5, pp. 1593-1600, May 2005. (Pubitemid 40729725)
8. J. Xu, D. Gunyan, M. Iwamoto, A. Cognata, and D. Root, "Measurement-based non-quasi-static large-signal FET model using artificial neural networks," in IEEE MTT-S Int. Microw. Symp. Dig., 2006, pp. 469-472. (Pubitemid 46924255)
9. J. Xu, J.Horn, M. Iwamoto, andD. E. Root, "Large-signal FET model with multiple time scale dynamics from nonlinear vector network analyzer data," in IEEE MTT-S Int. Microw. Symp. Dig., 2010, pp. 417-420.
10. D.-P. Schreurs, J. Verspecht, S. Vandenberghe, and E. Vandamme, "Straightforward and accurate nonlinear device model parameter-estimation method based on vectorial large-signal measurements," IEEE Trans. Microw. Theory Techn., vol. 50, no. 10, pp. 2315-2319, Oct. 2002. (Pubitemid 35250336)
11. M. Curras-Francos, P. Tasker, M. Fernandez-Barciela, Y. Campos-Roca, and E. Sanchez, "Direct extraction of nonlinear FET QV functions from time domain large signal measurements," IEEE Microw. Guided Wave Lett., vol. 10, no. 12, pp. 531-533, Dec. 2000. (Pubitemid 32189094)
12. F. Verbeyst and M. V. Bossche, "Real-time and optimal pa characterization speeds up pa design," in Proc. 34th Eur. Microw. Conf., Amsterdam, The Netherlands, 2004, pp. 431-434. (Pubitemid 40674019)
13. X. Cui, S. J. Doo, P. Roblin, J. Strahler, and R. Rojas-Teran, "High efficiency RF power amplifier designed with harmonic real-time active load-pull," IEEE Microw. Wireless Compon. Lett., vol. 18, no. 4, pp. 266-268, Apr. 2008. (Pubitemid 351479180)
14. A. Zárate-de Landa, P. Roblin, J. Reynoso-Hernández, and J. Loo-Yau, "Modeling the IV curves and its derivatives of microwave transistors using neural networks," IEEEMicrow.Wireless Compon. Lett., vol. 22, no. 9, pp. 468-470, Sep. 2012.
15. J. Xu, M. C. Yagoub, R. Ding, and Q. J. Zhang, "Exact adjoint sensitivity analysis for neural-based microwave modeling and design," IEEE Trans. Microw. Theory Techn., vol. 51, no. 1, pp. 226-237, Jan. 2003.
16. M. Riedmiller and H. Braun, "A direct adaptive method for faster backpropagation learning: The RPROP algorithm," in Proc. IEEE Int. Neural Netw. Conf., 1993, pp. 586-591.
17. G. Dambrine, A. Cappy, F. Heliodore, and E. Playez, "A new method for determining the FET small-signal equivalent circuit," IEEE Trans. Microw. Theory Techn., vol. 36, no. 7, pp. 1151-1159, Jul. 1988. (Pubitemid 18665485)
18. P. Aaen, J. A. Plá, and J. Wood, Modeling and Characterization of RF andMicrowave Power FETs. Cambridge,U.K.: Cambridge Univ. Press, 2007.
19. C. K. Yang, P. Roblin, F. De Groote, S. Ringel, S. Rajan, J. Teyessier, C. Poblenz, Y. Pei, J. Speck, and U. K. Mishra, "Pulsed-IV pulsed-RF cold-parasitic extraction of biased AlGaN/GaN HEMTs using large signal network analyzer," IEEE Trans. Microw. Theory Techn., vol. 58, no. 5, pp. 1077-1088, May 2010.
20. F. De Groote, P. Roblin, Y.-S. Ko, C.-K. Yang, S. J. Doo, M. V. Bossche, and J.-P. Teyssier, "Pulsed multi-tone measurements for time domain load pull characterizations of power transistors," in Proc. 73rd ARFTG Microw. Meas. Conf., 2009, pp. 1-4.