Determination of phase noise spectra in optoelectronic microwave oscillators a Langevin app.pdfVIP

Determination of phase noise spectra in optoelectronic microwave oscillators a Langevin app.pdf

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Determination of phase noise spectra in optoelectronic microwave oscillators a Langevin app

Determination of Phase Noise Spectra in Optoelectronic Microwave Oscillators: a Langevin Approach Y. Kouomou Chembo??, K. Volyanskiy?, L. Larger§, E. Rubiola? and P. Colet‖ FEMTO-ST Institute CNRS and Universite? de Franche Comte?, Besanc?on, France May 21, 2008 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. Keywords: Optoelectronic oscillators, phase noise, microwaves, semiconduc- tor lasers, stochastic analysis. ?FEMTO-ST, Dept. of Optics. Corresponding author, e-mail: yanne.chembo@femto-st.fr and ckyanne@yahoo.fr. ?Y.K.C. acknowledges a research fellowship from the Re?gion de Franche-Comte? in France, and a financial support from MEC (Spain) and FEDER under projects TEC2006-10009 (PhoDeCC) and FIS2007-60327 (FISICOS). ?FEMTO-ST, Dept. of Optics, and St. Petersburg State University of Aerospace Instru- mentation. §FEMTO-ST, Dept. of Optics. ?FEMTO-ST, Dept. of Time and Frequency. Home page . ‖Instituto de F??sica Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Palma de Mallorca, Spain. 1 a r X i v : 0 8 0 5 .3 3 1 7 v 1 [ p h y s i c s .o p t i c s ] 2 1 M a y 2 0 0 8 Y. K. Chembo al. May 21, 2008 2 Contents 1 Introduction 3 2 The phase diffusion approach in autonomous oscillators 3 3 Application of the phase diffusion approach to OEOs: stochastic delay-differential equations 5 4 Noise power density spectrum below threshold (γ 1) 8 5 Phase noise spectrum above threshold (γ 1) 10 6 Conclusion 13 A Determination of the output noise power for γ = 0 14 B Derivation of the stochastic phase equation 15 C

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