Inverse design of photonic crystal filters with arbitrary correlation and size for accurate spectrum reconstruction

Authors:
  • WWWenqi Wang
    Wenqi Wang
  • QDQiao Dong
    Qiao Dong
  • ZZZhixiao Zhang
    Zhixiao Zhang
  • HCHao Cao
    Hao Cao
  • LGLi Gao
    Li Gao
Publisher website
Google Scholar
Abstract
Spectroscopic technique based on nanophotonic filters can recover spectral information through compressive sensing theory. The spectral information is encoded by nanophotonic response functions and decoded by computational algorithms. They are generally ultracompact, low in cost, and offer single-shot operation with spectral resolution better than 1 nm. Thus, they could be ideally suited for emerging wearable and portable sensing and imaging applications. Previous work has revealed that successful spectral reconstruction relies on well-designed filter response functions with sufficient randomness and low mutual correlation, but no thorough discussion has been performed on the filter array design. Here, instead of blind selection of filter structures, inverse design algorithms are proposed to obtain a photonic crystal filter array with predefined correlation coefficients and array size. Such rational spectrometer design can perform accurate reconstruction for a complex spectrum and maintain the performance under noise perturbation. We also discuss the impact of correlation coefficient and array size on the spectrum reconstruction accuracy. Our filter design method can be extended to different filter structures and suggests a better encoding component for reconstructive spectrometer applications.
Funding Information
  • National Key Research and Development Program of China (2021YFA1202904)
  • Nanjing University of Posts and Telecommunications Scientific Foundation (NY219008)
  • Project of State Key Laboratory of Organic Electronics and Information Displays (GDX2022010007)
  • Natural Science Foundation of Jiangsu Province (BK20212012)
  • Nanjing University of Posts and Telecommunications 1311 Talent Program
  • National Natural Science Foundation of China (61974069, 62022043, 62235008)

This publication has 39 references indexed in Scilit: