WFC: ADVANCES IN AUTOMATED MODELING AND MICROWAVE DESIGN  

Date & Time: Friday, June 17; 8:00 AM to 5:00 PM

Location: Long Beach Convention Center, Room 102C

Topics & Speakers:

• Knowledge-aided design, and directions for microwave CAD, K.C. Gupta, University of Colorado

• Automated design and optimization exploiting surrogate models and space mapping, J.W. Bandler, Bandler Corp.

• Automated modeling and trends in ANNs for microwave design, Q.J. Zhang, Carleton University

• Applications of fuzzy logic for microwave design, R. Mansour, University of Waterloo

• Advances in simulation and optimization of large nonlinear RF/microwave circuits, V. Rizzoli, D. Masotti, F. Mastri and E. Montanari, University of Bologna

• Automated tuning and optimization of microwave filters and multiplexers, M. Yu, Com Dev.

• Advances in nonlinear behavioral modeling, D. Shreurs, Katholieke University Leuven

• Applications of ANN to microwave component and circuit modeling, J. Xu ( Carleton University ) and M. Yagoub ( University of Ottawa)

• Evolutionary Design of an X-Band Antenna for NASA's Space Technology 5 Mission , Jason Lohn, NASA Ames Research Center

• RF amplifier modeling and compensation: Model Reference Adaptive Control (MRAC) and Cortical Theory based models, P. Draxler, Qualcomm  

Organizers:     

Q.J. Zhang, Carleton University        

K.C. Gupta, University of Colorado  

Sponsors: 

MTT-1: Computer-Aided Design  

Significant advances continue in modeling and CAD to meet the challenges of next generation microwave design. Increasing design complexity, coupled with tighter component tolerances and shorter design cycles, demand tools that are faster, more accurate and automated than possible today. It becomes important to achieve EM/physics-based design accuracies not only at the component level, but also at the circuit and system levels.  Efficient modeling for linear and nonlinear circuits with EM/physics oriented accuracy but much faster than direct EM/physics simulations are necessary.  Recent advances in application of Artificial Neural Networks (ANN) and fuzzy logic for microwave design lead to new developments in efficient and automated modeling and CAD at both component and circuit levels.  Applications are being made in modeling and design of microstrip and CPW circuits, multilayer interconnects, embedded passives, printed antennas, LTCC circuits, semiconductor devices, measurement standards, filters, amplifiers, mixers and so on. New CAD methods for optimization, statistical design, global modeling, and computational electromagnetics exploiting computational intelligence concepts are being developed.  Knowledge based engineering concepts exploiting existing microwave knowledge and information are being formalized into advanced microwave CAD methodologies such as knowledge-aided design, knowledge-based neural networks, and space mapping. This leads to new opportunities combining equivalent circuit/empirical models, EM/physics simulation, behavioral modeling, ANN and optimization algorithms for fast and accurate design of microwave circuits and systems.

This workshop presents a tutorial review of the state of the art in these emerging directions.  The presentations highlight implementable methodologies for automated modeling and design of microwave components, circuits and systems.  The workshop covers fundamental concepts and methodologies, industrial applications, and future trends in R&D.