Threshold Optimized CSWPL Behavioral Model for RF Power Transistors Based on Particle Swarm Algorithm

In this letter, the particle swarm optimization (PSO) is employed to optimize the threshold values of the canonical section-wise piecewise linear (CSWPL) function-based behavioral model of power transistors. The effectiveness of the proposed method is validated through measurements carried out on a 10-W GaN power transistor produced by Wolfspeed. Compared with the existing simultaneous perturbation stochastic approximation (SPSA) method, the developed modeling technique not only provides superior prediction performance across different input power levels but also finds the optimal thresholds much more efficiently.

[1]  G. Crupi,et al.  A Broadband PA Design Based on Bayesian Optimization Augmented by Dynamic Feasible Region Shrinkage , 2022, IEEE Microwave and Wireless Components Letters.

[2]  R. Quaglia,et al.  A 5-W GaN Doherty Amplifier for Ka-Band Satellite Downlink With 4-GHz Bandwidth and 17-dB NPR , 2022, IEEE Microwave and Wireless Components Letters.

[3]  Shichang Chen,et al.  Stochastic Optimization of the CPL-Function-Based Model for RF Power Transistors , 2022, IEEE Microwave and Wireless Components Letters.

[4]  Chao Yu,et al.  The Threshold Optimization of the Canonical Piecewise Linear Function-Based Model With a Modified Quadratic SPSA , 2021, IEEE Microwave and Wireless Components Letters.

[5]  Filipe M. Barradas,et al.  New Transistor Behavioral Model Formulation Suitable for Doherty PA Design , 2021, IEEE Transactions on Microwave Theory and Techniques.

[6]  Lingling Sun,et al.  A Combined Broadband Model for GaN HEMTs in Admittance Domain Based on Canonical Piecewise Linear Functions , 2020, IEEE Transactions on Microwave Theory and Techniques.

[7]  Lingling Sun,et al.  Behavioral Model for RF Power Transistors Based on Canonical Section-Wise Piecewise Linear Functions , 2020, IEEE Transactions on Microwave Theory and Techniques.

[8]  Jialin Cai,et al.  Large Signal Behavioral Modeling of Power Transistor from Active Load-pull Systems , 2019, 2019 IEEE International Symposium on Radio-Frequency Integration Technology (RFIT).

[9]  Fabrizio Bonani,et al.  Linking X Parameters to Physical Simulations For Design-Oriented Large-Signal Device Variability Modeling , 2019, 2019 IEEE MTT-S International Microwave Symposium (IMS).

[10]  Lingling Sun,et al.  Bayesian Inference-Based Behavioral Modeling Technique for GaN HEMTs , 2019, IEEE Transactions on Microwave Theory and Techniques.

[11]  D. Schreurs,et al.  Assessing GaN FET Performance Degradation in Power Amplifiers for Pulsed Radar Systems , 2018, IEEE Microwave and Wireless Components Letters.

[12]  Lingling Sun,et al.  Support Vector Regression-Based Behavioral Modeling Technique for RF Power Transistors , 2018, IEEE Microwave and Wireless Components Letters.

[13]  Ruimin Xu,et al.  A Scalable Large-Signal Multiharmonic Model of AlGaN/GaN HEMTs and Its Application in C-Band High Power Amplifier MMIC , 2017, IEEE Transactions on Microwave Theory and Techniques.

[14]  Wen Wu,et al.  An Artificial Neural Network-Based Electrothermal Model for GaN HEMTs With Dynamic Trapping Effects Consideration , 2016, IEEE Transactions on Microwave Theory and Techniques.

[15]  A. Zhu,et al.  Low-Complexity Stochastic Optimization-Based Model Extraction for Digital Predistortion of RF Power Amplifiers , 2016, IEEE transactions on microwave theory and techniques.

[16]  Wei Hong,et al.  A Modified Canonical Piecewise-Linear Function-Based Behavioral Model for Wideband Power Amplifiers , 2016, IEEE Microwave and Wireless Components Letters.

[17]  A. Zhu.  Decomposed Vector Rotation-Based Behavioral Modeling for Digital Predistortion of RF Power Amplifiers , 2015, IEEE Transactions on Microwave Theory and Techniques.

[18]  Jianjun Xu,et al.  Global dynamic FET model for GaN transistors: DynaFET model validation and comparison to locally tuned models , 2014, 83rd ARFTG Microwave Measurement Conference.

[19]  D. E. Root,et al.  Future Device Modeling Trends , 2012, IEEE Microwave Magazine.

[20]  Jayanta Mukherjee,et al.  Optimization of Analog RF Circuit parameters using randomness in particle swarm optimization , 2011, 2011 World Congress on Information and Communication Technologies.

[21]  Jason Horn,et al.  GaN Device Modeling with X-Parameters , 2010, 2010 IEEE Compound Semiconductor Integrated Circuit Symposium (CSICS).

[22]  Qi-jun Zhang,et al.  Smart Modeling of Microwave Devices , 2010, IEEE Microwave Magazine.

[23]  J. Benedikt,et al.  Nonlinear Data Utilization: From Direct Data Lookup to Behavioral Modeling , 2009, IEEE Transactions on Microwave Theory and Techniques.

[24]  John Wood,et al.  Modeling and Characterization of RF and Microwave Power FETs , 2007 .

[25]  M. Isaksson,et al.  A Kautz-Volterra Behavioral Model for RF Power Amplifiers , 2006, 2006 IEEE MTT-S International Microwave Symposium Digest.

[26]  M. Cacciola,et al.  Microwave Devices and Antennas Modelling by Support Vector Regression Machines , 2006, IEEE Transactions on Magnetics.

[27]  Lei Zhang,et al.  Nonlinear HEMT Modeling Using Artificial Neural Network Technique , 2005, IEEE MTT-S International Microwave Symposium Digest, 2005..

[28]  C. Weitzel,et al.  RF power amplifiers for wireless communications , 2002, 24th Annual Technical Digest Gallium Arsenide Integrated Circuit (GaAs IC) Symposiu.

[29]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[30]  H. Zirath,et al.  A new empirical nonlinear model for HEMT and MESFET devices , 1992 .

[31]  Sung Mo Kang,et al.  Section-wise piecewise-linear functions: Canonical representation, properties, and applications , 1977, Proceedings of the IEEE.

[32]  Wei Hong,et al.  A Band-Limited Canonical Piecewise-Linear Function-Based Behavioral Model for Wideband Power Amplifiers , 2017, IEEE Microwave and Wireless Components Letters.

[33]  Paolo Colantonio,et al.  A High Efficiency and Low Distortion 6 W GaN MMIC Doherty Amplifier for 7 GHz Radio Links , 2017, IEEE Microwave and Wireless Components Letters.