High-performance and scalable on-chip digital Fourier transform spectroscopy.
High-performance and scalable on-chip digital Fourier transform spectroscopy.
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DOI：
10.1038/s41467-018-06773-2
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发表时间：
2018-10-23
影响因子：
16.6
通讯作者：
Hu J
中科院分区：
文献类型：
--
作者：
Kita DM;Miranda B;Favela D;Bono D;Michon J;Lin H;Gu T;Hu J
与传统台式仪器相比，片上光谱仪具有巨大的尺寸、重量和功率优势，可用于光谱传感、光网络性能监测、高光谱成像和射频频谱分析等许多应用。然而，现有的片上光谱仪设计在光谱通道计数和信噪比方面受到限制。在这里，我们展示了一个变革性的片上数字傅里叶变换光谱仪，通过可重构马赫-曾德尔干涉仪的时域调制获得高分辨率的光谱。该器件采用行业标准硅光子技术制造和封装，具有多路复用优势，可大幅提高信噪比和前所未有的可扩展性，能够解决呈指数级增长的光谱通道数量。我们进一步探索和实现机器学习正则化技术来进行频谱重建。使用我们开发的“弹性D1”正则化回归方法，我们实现了宽（>600 GHz）和窄（<25 GHz）光谱特征的显着噪声抑制，以及超出经典瑞利标准的光谱分辨率增强。片上光谱仪通常具有有限的光谱通道和低信噪比。在这里，作者介绍了一种数字架构，该架构使用开关来改变干涉仪路径长度，通过利用机器学习重建算法，使每个电路元件的光谱通道呈指数级增加，噪声降低。
On-chip spectrometers have the potential to offer dramatic size, weight, and power advantages over conventional benchtop instruments for many applications such as spectroscopic sensing, optical network performance monitoring, hyperspectral imaging, and radio-frequency spectrum analysis. Existing on-chip spectrometer designs, however, are limited in spectral channel count and signal-to-noise ratio. Here we demonstrate a transformative on-chip digital Fourier transform spectrometer that acquires 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 the signal-to-noise ratio and unprecedented scalability capable of addressing exponentially increasing numbers of spectral channels. We further explore and implement machine learning regularization techniques to spectrum reconstruction. Using an ‘elastic-D1’ regularized regression method that we develop, 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. On-chip spectrometers typically have limited spectral channels and low signal to noise ratios. Here the authors introduce a digital architecture that uses switches to change the interferometer path lengths, enabling exponentially more spectral channels per circuit element and lower noise by leveraging a machine learning reconstruction algorithm.
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