Phys.org  March 7, 2024
High-resolution solar spectra play a crucial role in research pertaining to atmospheric vertical profiles and analysis of atmospheric composition. However, the improvement of spectral resolution is subject to certain limitations due to hardware constraints. Researchers in China proposed multi-step linear prediction (MSLP) method based on sliding windows to enhance the spectral resolution of passive remote sensing FTIR spectra, thereby improving the accuracy and reliability of atmospheric composition analysis. Their method improved the spectral resolution of passive remote sensing FTIR spectra. In simulations, the MSLP method significantly enhanced the spectral resolution of passive remote sensing FTIR spectra. Experimental results demonstrated that compared to the measured high-resolution spectrum, the relative error of the spectrum enhanced by the MSLP method is only 0.28 %… read more. TECHNICAL ARTICLE
Spectral Enhancement for Multicomponent Trace Substances Based on Multistep Linear Prediction. Credit: LI Xiangxian