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Oscillator stabilization through feedback with slow wave structures

Abstract: This article presents a new formulation to predict the steady-state, stability, and phase-noise properties of oscillator circuits, including either a self-injection network or a two-port feedback network for phase-noise reduction. The additional network contains a slow wave structure that stabilizes the oscillation signal. Its long delay inherently gives rise to multivalued solutions in some parameter intervals, which should be avoided for a reliable operation. Under a two-port feedback network, the circuit is formulated extracting two outer-tier admittance functions, which depend on the node-voltage amplitudes, phase shift between the two nodes, and excitation frequency. Then, the effect of the slow wave structure is predicted through an analytical formulation of the augmented oscillator, which depends on the numerical oscillator model and the structure admittance matrix. The solution curves are obtained in a straightforward manner by tracing a zero-error contour in the plane defined by the analysis parameter and the oscillation frequency. The impact of the slow-wave structure on the oscillator stability and noise properties is analyzed through a perturbation method, applied to the augmented oscillator. The phase-noise dependence on the group delay is investigated calculating the modulation of the oscillation carrier. The various analysis and design methods have been applied to an oscillator at 2.73 GHz, which has been manufactured and measured, obtaining phase-noise reductions of 13 dB, under a one-port load network, and 18 dB, under a feedback network.

 Authorship: Ponton M., Ramirez F., Herrera A., Suarez A.,

 Congress: IEEE MTT-S International Microwave Symposium: IMS (2019 : Boston, Estados Unidos)

 Fuente: IEEE Transactions on Microwave Theory and Techniques, 2020, 68(6), 2358-2373

 Publisher: Institute of Electrical and Electronics Engineers Inc.

 Publication date: 01/06/2020

 No. of pages: 16

 Publication type: Article

 DOI: 10.1109/TMTT.2020.2971186

 ISSN: 0018-9480,1557-9670

 Spanish project: TEC2017-88242-C3-1-R

 Publication Url: https://doi.org/10.1109/TMTT.2020.2971186