Determination of phase noise spectra in optoelectronic microwave oscillators: a Langevin approach

TL;DR

This paper presents a stochastic Langevin model to analyze phase noise in optoelectronic microwave oscillators, extending phase diffusion theory to include nonlinearities and time-delay effects, and validates it with experiments.

Contribution

It introduces a novel Langevin-based stochastic model for phase noise in optoelectronic oscillators, accounting for bifurcation-induced limit cycles and validating with experimental data.

Findings

Effective modeling of phase noise using Langevin approach

Extension of phase diffusion theory to nonlinear, delayed systems

Good agreement between model predictions and experimental measurements

Abstract

We introduce a stochastic model for the determination of phase noise in optoelectronic oscillators. After a short overview of the main results for the phase diffusion approach in autonomous oscillators, an extension is proposed for the case of optoelectronic oscillators where the microwave is a limit-cycle originated from a bifurcation induced by nonlinearity and time-delay. This Langevin approach based on stochastic calculus is also successfully confronted with experimental measurements.