Investigation of the Dynamical Behavior of a High-Power Laser Diode Subject to Stimulated Brillouin Scattering Optical Feedback

Correa-Mena, A. G.; Lee, Min Won; Zaldívar-Huerta, I. E.; Hong, Yanhua; Boudrioua, Azzedine

doi:10.1109/jqe.2019.2951110

Cited by 5 publications

(2 citation statements)

References 29 publications

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“…Then the regions of more complex dynamics can be expanded with these external perturbations. Thereinto, optical feedback as external disturbance component has attracted extensive researches and applications thanks to simple architecture, less required components and the capacity to generate complex high-dimensional chaos, which can be implemented only with a simple external mirror [51]. More importantly, the sensitivity to optical feedback is very important in the applications of optical fiber communication.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of Nonlinear Dynamics Based on Spin-VCSELs with Optical Feedback

Song

Xie

et al. 2021

Photonics

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In this paper, the nonlinear dynamics of a novel model based on optically pumped spin-polarized vertical-cavity surface-emitting lasers (spin-VCSELs) with optical feedback is investigated numerically. Due to optical feedback being the external disturbance component, the complex nonlinear dynamical behaviors can be enhanced and the regions of different nonlinear dynamics in size can be extended with appropriate parameters of spin-VCSELs. According to the equations of the modified spin-flip model (SFM), the comparison of bifurcation diagrams is first presented for the clear presentation of different routes to chaos. Meanwhile, numerous bifurcation diagrams in color are illustrated to demonstrate the rich dynamical regimes intuitively, and the crucial effects of optical feedback strength, feedback delay, linewidth enhancement factor, and spin-flip relaxation rate on the region evolvement of complex dynamics of the proposed model are revealed to investigate the dependence of dynamical behaviors on external and internal parameters when the optical feedback scheme is introduced. These parameters play a remarkable role in enhancing the mechanism of complex dynamic oscillations. Furthermore, utilizing combination with time series, power spectra, and phase portraits, the various dynamical behaviors observed in the bifurcation diagram are simulated numerically. Correspondingly, the powerful measure 0–1 test is employed to distinguish between chaos and non-chaos.

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Section: Introductionmentioning

confidence: 99%

Numerical Analysis of Nonlinear Dynamics Based on Spin-VCSELs with Optical Feedback

Song

Xie

et al. 2021

Photonics

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“…As an example, for ultra-fast optical random number generation [43][44][45], it is crucial to generate optical chaotic signals that are as uncorrelated and as "pseudorandom" as possible, for which its deterministic nature is hidden by noise-like properties. Many different setups have been proposed to generate such broad-band, high-entropy optical signals [46][47][48][49][50]. Our algorithm allows an automatic comparison of the strength of the correlations and the level of randomness of signals generated by different setups.…”

Section: Discussionmentioning

confidence: 99%

Evaluating Temporal Correlations in Time Series Using Permutation Entropy, Ordinal Probabilities and Machine Learning

Boaretto

Budzinski

Rossi

et al. 2021

Entropy

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Time series analysis comprises a wide repertoire of methods for extracting information from data sets. Despite great advances in time series analysis, identifying and quantifying the strength of nonlinear temporal correlations remain a challenge. We have recently proposed a new method based on training a machine learning algorithm to predict the temporal correlation parameter, α, of flicker noise (FN) time series. The algorithm is trained using as input features the probabilities of ordinal patterns computed from FN time series, xαFN(t), generated with different values of α. Then, the ordinal probabilities computed from the time series of interest, x(t), are used as input features to the trained algorithm and that returns a value, αe, that contains meaningful information about the temporal correlations present in x(t). We have also shown that the difference, Ω, of the permutation entropy (PE) of the time series of interest, x(t), and the PE of a FN time series generated with α=αe, xαeFN(t), allows the identification of the underlying determinism in x(t). Here, we apply our methodology to different datasets and analyze how αe and Ω correlate with well-known quantifiers of chaos and complexity. We also discuss the limitations for identifying determinism in highly chaotic time series and in periodic time series contaminated by noise. The open source algorithm is available on Github.

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Effect of various fiber nonlinearities on MADPSK modulated 450 × 100 Gb/s ultra-dense WDM system for long haul communication

Rajeev

Kumar

2023

J Opt

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Investigation of the Dynamical Behavior of a High-Power Laser Diode Subject to Stimulated Brillouin Scattering Optical Feedback

Cited by 5 publications

References 29 publications

Numerical Analysis of Nonlinear Dynamics Based on Spin-VCSELs with Optical Feedback

Numerical Analysis of Nonlinear Dynamics Based on Spin-VCSELs with Optical Feedback

Evaluating Temporal Correlations in Time Series Using Permutation Entropy, Ordinal Probabilities and Machine Learning

Effect of various fiber nonlinearities on MADPSK modulated 450 × 100 Gb/s ultra-dense WDM system for long haul communication

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