Oscillator phase noise: a geometrical approach
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Proceedings of the 2009 International Conference on Computer-Aided Design
FSSA: fast steady-state algorithm for the analysis of mixed analog/digital circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Improved small-signal analysis for circuits working in periodic steady state
IEEE Transactions on Circuits and Systems Part I: Regular Papers
A 120–420 MHz delay-locked loop with multi-band voltage-controlled delay unit
International Journal of Circuit Theory and Applications
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Oscillators exist in many systems. Detailed and correct characterization and comprehension of noise in autonomous systems such as oscillators is of utmost importance. Previous approaches to oscillator noise analysis are based on some kind of perturbation analysis, some linear and some nonlinear. However, the derivations of the equations for perturbation analysis are all based on information that is produced by a linearization of the oscillator equations around the periodic steady-state solution, where it is assumed that the oscillator is orbitally stable and it has the so-called asymptotic phase property. In this paper, we first discuss these notions from a qualitative perspective, and demonstrate that the asymptotic phase property is crucial in validating all of the previous approaches. We then present the case of a simple oscillator that is orbitally stable but without asymptotic phase, for which previous approaches fail. We then present a fully nonlinear noise analysis of this oscillator. We derive and compute nonlinear, non-stationary and non-Gaussian stochastic characterizations for both amplitude and phase noise. We arrive at results that are distinctly different when compared with the ones obtained previously for oscillators with asymptotic phase. We compare and verify our analytical results against extensive Monte Carlo simulations. Copyright © 2006 John Wiley & Sons, Ltd.