An overview of Neuro-space mapping techniques for microwave device modeling

This paper presents an overview of Neuro-space mapping (Neuro-SM) approach and its application to nonlinear device modeling. The Neuro-SM approach addresses the situation where an existing device model cannot fit new device data well. By modifying the current and voltage relationships in the model, the Neuro-SM produces a new model exceeding the accuracy limit. This paper describes several Neuro-SM techniques incorporating static Neuro-SM, advanced static Neuro-SM, and dynamic Neuro-SM techniques for microwave device modeling. A real 2 × 50 gatewidths GaAs pseudomorphic high-electron mobility transistor (pHEMT) modeling example is used to illustrate the accuracy and efficiency of dynamic Neuro-SM.

[1]  Lin-Sheng Liu,et al.  Electrothermal Large-Signal Model of III–V FETs Including Frequency Dispersion and Charge Conservation , 2009, IEEE Transactions on Microwave Theory and Techniques.

[2]  Qi-Jun Zhang,et al.  Artificial neural networks for RF and microwave design - from theory to practice , 2003 .

[3]  Lin Zhu,et al.  A Novel Dynamic Neuro-Space Mapping Approach for Nonlinear Microwave Device Modeling , 2016, IEEE Microwave and Wireless Components Letters.

[4]  M.C.E. Yagoub,et al.  Exact adjoint sensitivity analysis for neural based microwave modeling and design , 2001, 2001 IEEE MTT-S International Microwave Sympsoium Digest (Cat. No.01CH37157).

[5]  Lin Zhu,et al.  An enhanced analytical Neuro-Space Mapping method for large-signal microwave device modeling , 2012, 2012 IEEE/MTT-S International Microwave Symposium Digest.

[6]  M.C.E. Yagoub,et al.  Neuro-Space Mapping technique for nonlinear device modeling and large signal simulation , 2003, IEEE MTT-S International Microwave Symposium Digest, 2003.

[7]  M.C.E. Yagoub,et al.  Efficient analytical formulation and sensitivity analysis of neuro-space mapping for nonlinear microwave device modeling , 2005, IEEE Transactions on Microwave Theory and Techniques.

[8]  J.W. Bandler,et al.  Space mapping: the state of the art , 2004, IEEE Transactions on Microwave Theory and Techniques.

[9]  Jose E. Rayas-Sanchez,et al.  On knowledge-based neural networks and neuro-space mapping , 2012, 2012 IEEE/MTT-S International Microwave Symposium Digest.

[10]  F.M. Ghannouchi,et al.  Dynamic behavioral modeling of 3G power amplifiers using real-valued time-delay neural networks , 2004, IEEE Transactions on Microwave Theory and Techniques.