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An Inversely Designed Reconstructive Spectrometer on SiN Platform
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DOI：10.1002/lpor.202301107.png)
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Abstract
En 中文
Reconstructive spectrometers, which leverage the compressive sensing technique and computational algorithm, are promising solutions for high-performance integrated spectrometers. Among the various options for realizing reconstructive spectrometers, stratified waveguide filters (SWFs) have emerged as a particularly attractive choice due to their ultra-compact size and high performance. However, previous demonstrations of SWFs on silicon substrates have suffered from suboptimal and non-reproducible spectrometer performance due to the brute-force random design approach. In this paper, applying a bio-inspired inverse design algorithm to the system level of multiple correlated SWFs is proposed. The algorithm allows for the precise and optimized design of the SWFs in order for higher spectral resolution of each SWF and lower spectral cross-correlations between any two SWFs, overcoming the limitations of previous methods. The effectiveness of this approach is demonstrated by implementing a reconstructive spectrometer on a silicon nitride (SiN) platform, which is more thermally stable and can support a wider optical range than silicon. Reconstructive spectrometers, using compressive sensing and computational algorithms, show promise for high-performance integrated spectrometers. This paper proposes a bio-inspired inverse design algorithm for optimizing on-chip reconstructive spectrometers, resulting in enhanced and reproducible performance. The effectiveness is demonstrated through the implementation of a reconstructive spectrometer based on stratified waveguide filters on a thermally stable silicon nitride (SiN) platform with a wider optical range. image
Keywords:
integrated spectrometer
inverse design
silicon photonics
Journal
L
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10
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3.7K
Citations:
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