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New techniques for non-linear behavioral modeling of microwave/RF ICs from simulation and nonlinear microwave measurements

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3 Author(s)
Root, D.E. ; Agilent Technol., Santa Rosa, CA, USA ; Wood, J. ; Tufillaro, N.

This paper compares and contrasts recent nonlinear behavioral modeling techniques designed for microwave and RFIC application which arise in radio and communication systems, and in the design of broad-band nonlinear components used for microwave instrumentation. These techniques include dynamic neural networks and nonlinear time series models in the time-domain, nonlinear describing functions in the frequency domain, and envelope-based methods in mixed time and frequency domains. Approaches to generating these models from both simulation and nonlinear microwave measurements are reviewed.

Published in:

Design Automation Conference, 2003. Proceedings

Date of Conference:

2-6 June 2003