IEEE Radio Frequency Integrated Circuits Symposium 2008 (RFIC 2008) | Atlanta : (2008)

Michael Kraemer, Daniela Dragomirescu, Robert Plana

In this paper an approach to behavioral modeling of microwave oscillators is described. The presented model takes into account start-up, steady state behavior and phase noise. To describe the nonlinearities, an Artificial Neural Network (ANN) is employed. The dynamic behavior of the oscillator is described by a system of differential equations that are solved in VHDL-AMS. As opposed to inputoutput models of microwave devices, this paper presents a self sustaining oscillation, which starts from a small injected excitation (e.g. noise) and ends in a stable limit cycle. Additionally, the phase noise characteristics of the oscillator in the 1/f2 and flat region are emulated.

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