Improvement of LVF-based NIR Spectral Sensor on Both Spatial and Time Domains
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Citation
Wang, X., Huang, S., Ke, P., Liu, M., Zhao, Z., & Fang, J. (2021). Improvement of LVF-based NIR Spectral Sensor on Both Spatial and Time Domains [集成滤光片型近红外光谱组件的时空域 性能改善研究]. 光子学报 (Acta Photonica Sinica), 50(4), 0430001. doi:10.3788/gzxb20215004.0430001
Keywords
- InGaAs, Spectral sensor
- Linear variable filter
- Wavelength calibration
- Near-infrared
Brief
This article presents a study on improving the performance of a linear variable filter (LVF) based near-infrared (NIR) spectral sensor by using a 512×2 InGaAs detector array and dynamic data fusion techniques in both spatial and time domains to reduce wavelength spacing and mitigate the effects of blind pixels.
Summary
This paper presents an improved near-infrared (NIR) spectral sensor that uses a linear variable filter (LVF) and a 512×2 InGaAs detector array. The researchers developed a dynamic data fusion method across multiple frames and neighboring pixels to reduce the wavelength spacing between spectral channels (despite the LVF's resolution limits) and to minimize the impact of defective pixels, ultimately enhancing the performance of the miniaturized spectrometer. Experimental results with wavelength calibration and a standard reference material validate the effectiveness of these improvements.