Independent Component Analysis-Based Baseline Drift Interference Suppression of Portable Spectrometer for Optical Electronic Nose of Internet of Things

The optical electronic nose (e-nose) is drawing more and more attention from the academia and industry in Internet of Things applications. Since the charge-coupled Device (CCD)-based portable spectrometer is commonly used in gas sensing system of e-nose, the baseline drift interference is easy to be introduced, which reduces the accuracy and sensitivity of the system and makes the sensing performance worse. For this issue, first, the baseline drift data are analyzed and the characteristics of the baseline drift interference brought by the portable spectrometer are found in this article. Then, according to the characteristics of the drift, a baseline drift suppression technique for portable spectrometer is proposed. Specifically, it mainly includes four steps: data preprocessing, dimension reduction using principal component analysis, sources separation using independent component analysis, and reconstruction after interference suppression. Finally, experimental results show that the proposed technique suppressed the interference effectively and even better compared with classical existing methods.