Nolinear Microwave/RF System Design & Simulation Using ADS-DATA Models

J. Wood,   X. Qin,  A. Cognata
Agilent Technologies, Inc.,
Microwave Technology Center, Santa Rosa, CA 95403

Abstract
The successful design of multi-chip modules formicrowave systems using EDA tools has been enabled by using behavioral models for the IC components. Databased models were created from large-signal measurements or simulations of the ICs, and the nonlinear performance of the module, such as gain compression, was simulated accurately.

Introduction
Modern microwave and wireless systems are nowadays too complex to allow complete simulation of the nonlinear behavior at the transistor level of description. A higher level of abstraction of the design is required. This has led to the development of many types of "behavioral models" of the sub-systems and ICs that comprise the overall module. Such behavioral models include "blackbox" models, in which the input-output behavior of the IC is described in an abstract mathematical formulation, for example a neural network(1); and "grey-box" models, where the device behavior can be fitted to a template description, for example, a polynomial transfer function, or given circuit topology.

In this paper, we are concerned with grey-box models that are based on look-up tables of data derived from largesignal
measurements or nonlinear simulations of the IC. These grey-box models are available in the Agilent 'Advanced Design System' (ADS) microwave simulator, as 'System-Data Models'. We shall describe how the models were generated and used in the successful design of a broadband multi-chip microwave module.

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