Chip-scale high-performance digital Fourier Transform (dFT) spectrometers

Derek M. Kita; Brando Miranda; Carlos Ríos; David Favela; David Bono; Jérôme Michon; Hongtao Lin; Tian Gu; Juejun Hu

doi:10.1117/12.2518437

13 May 2019 Chip-scale high-performance digital Fourier Transform (dFT) spectrometers

Derek M. Kita, Brando Miranda, Carlos Ríos, David Favela, David Bono, Jérôme Michon, Hongtao Lin, Tian Gu, Juejun Hu

Author Affiliations +

Proceedings Volume 10983, Next-Generation Spectroscopic Technologies XII; 1098306 (2019) https://doi.org/10.1117/12.2518437
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

On-chip spectrometers have recently emerged as a promising alternative to conventional benchtop instruments with apparent Size, Weight, and Power (SWaP) advantages for applications including spectroscopic sensing, optical network performance monitoring, RF spectrum analysis, optical coherence tomography, and hyperspectral imaging. Existing onchip spectrometer designs, however, are limited in spectral channel count and signal-to-noise ratio (SNR). Here we demonstrate a transformative on-chip digital Fourier transform (dFT) spectrometer that can acquire high-resolution spectra via time-domain modulation of a reconfigurable Mach-Zehnder interferometer. The device, fabricated and packaged using industry-standard silicon photonics technology, claims the multiplex advantage to dramatically boost SNR and unprecedented scalability capable of addressing exponentially increasing numbers of spectral channels. We further explored and implemented machine learning regularization techniques to spectrum reconstruction. Using an ‘elastic-D1’ regularized regression method that we developed, we achieved significant noise suppression for both broad (> 600 GHz) and narrow (< 25 GHz) spectral features, as well as spectral resolution enhancement beyond the classical Rayleigh criterion. The dFT architecture and spectrum reconstruction techniques demonstrated in this work will drive future work in on-chip optical spectroscopy and enable practical realizations of high-performance chip-scale spectrometers with large (> 1,000) spectral channel counts.

Conference Presentation

Citation Download Citation

Derek M. Kita, Brando Miranda, Carlos Ríos, David Favela, David Bono, Jérôme Michon, Hongtao Lin, Tian Gu, and Juejun Hu "Chip-scale high-performance digital Fourier Transform (dFT) spectrometers", Proc. SPIE 10983, Next-Generation Spectroscopic Technologies XII, 1098306 (13 May 2019); https://doi.org/10.1117/12.2518437

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