RF noise model for AlGaN/GaN HEMT

Author(s):  
Wondwosen Eshetu Muhea ◽  
Antonio Lazaro ◽  
Benjamin Iniguez ◽  
Fetene Mulugeta Yigletu
Keyword(s):  
Gan Hemt ◽  
2003 ◽  
Vol 13 (03) ◽  
pp. 823-848
Author(s):  
CHRISTOPH JUNGEMANN ◽  
BURKHARD NEINHÜS ◽  
BERND MEINERZHAGEN

A 2D hydrodynamic model based on modified Langevin forces for terminal current noise in the RF range is presented for Si and SiGe devices, where all transport and noise parameters are generated by full-band Monte Carlo simulations under bulk conditions and stored in lookup tables. Since these tables have to be built only once, the accuracy of the noise model is improved without increasing the CPU time compared to models based on analytical expressions for the parameters. The accuracy of the noise model is assessed by comparison with the Monte Carlo device model and good agreement of both models is found for diffusion and generation noise. The terminal current noise of a realistic SiGe HBT is investigated and it is found that hole diffusion noise has a strong impact on the collector current noise. The limitations of the thermodynamic model, a compact model for noise, are explored by comparison with the hydrodynamic model.


2016 ◽  
Vol 52 (3) ◽  
pp. 232-234 ◽  
Author(s):  
Chie‐In Lee ◽  
Yan‐Ting Lin ◽  
Wei‐Cheng Lin

2015 ◽  
Vol 63 (8) ◽  
pp. 2498-2508 ◽  
Author(s):  
Andrea Nalli ◽  
Antonio Raffo ◽  
Giovanni Crupi ◽  
Sara D'Angelo ◽  
Davide Resca ◽  
...  

Frequenz ◽  
2014 ◽  
Vol 69 (1-2) ◽  
pp. 47-55
Author(s):  
Matthias Rudolph ◽  
Laurent Escotte ◽  
Ralf Doerner

Abstract This paper compares new bias-dependent descriptions for the Pucel and Pospieszalski noise models for GaN HEMT devices. It is proposed to replace the traditional descriptions of the noise sources by general noise powers linked to the drain current. A well-behaved bias dependence of the new parameters is observed for both models the new approach reduces uncertainty in the nonlinear noise model extraction. Finally, the performance of the bias-dependent noise models under nonlinear excitation is investigated and it can be shown that Pucel and Pospieszalski models yield comparably good accuracy in noise prediction.


Author(s):  
I. Angelov ◽  
M. Ferndahl ◽  
F. Ingvarson ◽  
H. Zirath ◽  
H.O. Vickes
Keyword(s):  

Author(s):  
Felix Heinz ◽  
Dirk Schwantuschke ◽  
Matthias Ohlrogge ◽  
Arnulf Leuther ◽  
Oliver Ambacher

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