Tang Xiao-Jun, Wang Jin, Zhang Lei, Guan Jin-Feng, Zhang Yong, Liu Jun-Hua
State Key Laboratory of Electrical Insulation & Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2013 Feb;33(2):334-9.
Aimed at the problem that baseline drift or distortion often appears in Fourier transform spectra after spectrometer has continuously worked for a long time, baseline variation caused by IR source temperature drift and fluctuation, tilt of moving mirror, performance parameter change of beam splitter and lateral shift of detector were studied by simulating using MATLAB. Simulation results show that spectral baseline drift is approximately linear. On this basis, a novel method named spectral baseline correction by piecewise dividing (SBCPD) is proposed to correct spectral baseline in the present work By comparing peak height of simulated spectra, it was found that performance of SBCPD is better than that of common methods of polynomial fitting, air-PLS (adaptive iteratively reweighted Penalized Least Squares). And the application in gas well-logging showed that prediction accuracy of SBCPD is also higher. Additionally, this method is reliable and of less calculation, and is suitable for engineering application.
针对光谱仪长时间连续工作后傅里叶变换光谱中经常出现基线漂移或失真的问题，利用MATLAB进行模拟，研究了由红外光源温度漂移和波动、动镜倾斜、分束器性能参数变化以及探测器横向位移引起的基线变化。模拟结果表明，光谱基线漂移近似呈线性。在此基础上，本文提出了一种名为分段划分光谱基线校正（SBCPD）的新方法来校正光谱基线。通过比较模拟光谱的峰值高度，发现SBCPD的性能优于多项式拟合、空气PLS（自适应迭代加权惩罚最小二乘法）等常用方法。气测井中的应用表明，SBCPD的预测精度也更高。此外，该方法可靠且计算量小，适用于工程应用。
