Recently, the research results of the team of Associate Professor Zhang Jianbing from the School of Integrated Circuits of Huazhong University of Science and Technology in the field of spectral sensor chips and micro-spectrometers were published in Advanced Photonics Nexus, titled "Robust spectral reconstruction algorithm enables quantum dot spectrometers with subnanometer spectral accuracy". Huazhong University of Science and Technology is the first and corresponding unit of the paper, Associate Professor Zhang Jianbing is the corresponding author, and 2021 master student Ma Wenkai and 2020 undergraduate student Xue Qian are the co-first authors of the paper.
Spectrum is the "fingerprint" of a substance, which can be used to identify substances and is an important means of perception. With the rapid development of artificial intelligence, the need for environmental perception is becoming increasingly urgent. Adding a new information dimension—spectrum—to the basis of visual perception can achieve accurate target identification and will become an inevitable trend in intelligent perception. However, existing spectral sensing tools (spectrometers) are generally large in size and difficult to integrate, and there is an urgent need to develop spectrometer miniaturization solutions. Computational spectroscopy is a solution with great development potential. By introducing computing power to reduce the requirements for optical components, it can significantly reduce the size of the spectrometer and reach the chip level while ensuring the performance of the spectrometer. However, computational spectrometers are often affected by noise during the data acquisition process, resulting in limited accuracy of spectral reconstruction. Therefore, developing an algorithm that is both effective in resisting noise and has good mobility is of great significance to promote the development of computational spectrometers or spectral sensing chips.
In response to the above problems, Associate Professor Zhang Jianbing's team proposed a new spectral reconstruction algorithm - the TKVA algorithm, combined with quantum dot filter coding, to develop a quantum dot spectrum sensing chip and its micro spectrometer with sub-nanometer spectral resolution accuracy. This algorithm combines Tikhonov regularization, total variation (TV) regularization and alternating direction multiplier method (ADMM), which significantly improves the noise tolerance and spectral resolution accuracy of the spectral sensing chip. Combined with interpolation technology, it can reach 400-400 It demonstrates a spectral resolution of 2 nm and a spectral resolution accuracy of 0.1 nm in the 800 nm range, and achieves accurate measurement of actual narrow-band spectrum and broadband spectrum. Among chips of the same type, various performance indicators are at the internationally advanced level.
Spectral sensing chip is a new type of spectral sensing technology, which is easy to integrate and secondary development, and has broad application prospects in various artificial intelligence systems or intelligent sensing microsystems. These results lay a good foundation for further development of the application of spectral sensing chips and research on spectral imaging chips.
Source: HUST Institute of Integrated Circuits
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