Adib George A, Sabry Yasser M, Khalil Diaa
Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Sensor Systems Technology Group, Si-Ware Systems, Heliopolis, Egypt.
Appl Spectrosc. 2023 Jul;77(7):734-743. doi: 10.1177/00037028231174248. Epub 2023 May 25.
Handheld Fourier transform infrared (FT-IR) spectrometers are very promising candidates for several applications where accurate real-time material detection and quantification are needed. Due to their compact size, their mode of operation which does not allow for long warm-up time, and changing environmental conditions, these spectrometers suffer from short-term noise and long-term instabilities which affect their performance. In this work, the effect of long-term multiplicative instabilities on the signal-to-noise ratio (S/N), measured using the 100% line-method, is studied. An expression for the variance, in this case, is deduced. The Allan variance technique is used to identify and quantify the presence of the different types of noises. The methodology is applied to a commercial NeoSpectra scanner module from Si-Ware Systems, Inc.
手持式傅里叶变换红外（FT-IR）光谱仪在需要精确实时材料检测和定量的多种应用中是非常有前景的候选者。由于其紧凑的尺寸、不允许长时间预热的操作模式以及不断变化的环境条件，这些光谱仪存在短期噪声和长期不稳定性，这会影响其性能。在这项工作中，研究了使用100%线法测量的长期乘法不稳定性对信噪比（S/N）的影响。推导了这种情况下的方差表达式。使用阿伦方差技术来识别和量化不同类型噪声的存在。该方法应用于Si-Ware Systems公司的一款商用NeoSpectra扫描仪模块。
