摘要
Dispersion remains an enduring challenge for the characterization of wavelength-dependent transmission through optical multimode fiber(MMF).Beyond a small spectral correlation width,a change in wavelength elicits a seemingly independent distribution of the transmitted field.Here we report on a parametric dispersion model that describes mode mixing in MMF as an exponential map and extends the concept of principal modes to describe the fiber's spectrally resolved transmission matrix(TM).We present computational methods to fit the model to measurements at only a few,judiciously selected,discrete wavelengths.We validate the model in various MMF and demonstrate an accurate estimation of the full TM across a broad spectral bandwidth,approaching the bandwidth of the best-performing principal modes,and exceeding the original spectral correlation width by more than two orders of magnitude.The model allows us to conveniently study the spectral behavior of principal modes,and obviates the need for dense spectral measurements,enabling highly effcient reconstruction of the multispectral TM of MMF.
基金
Research in this publication was supported by the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health,Award No.P41 EB015903 and MGH ECOR interim support
and by the Chilean National Research and Development Agency,Award ANID Anillo ACT192064.V.J.P.was supported by the OSA Deutsch Fellowship.
