Study on selectivity of MOS-type gas sensor based on Prony's method and subspace identification method

在这项研究中，从半导体气体传感器的瞬态响应的特征提取进行了研究。对于传感器响应作为一阶滞后系统的阶跃响应给出，传感器输出可以近似为一个指数之和的Prony的方法。我们已经表明，该方法可以解释的子空间为基础的识别方法。模型参数可以用时间常数和增益来估计，这两个参数与气体的特性密切相关。这些参数可以用来构造特征向量，用于气体的识别。使用的估计作为功能，它已经表明，可以提高气体的歧视。

In this study, feature extraction from a transient response of a semiconductor gas sensor is investigated. For the sensor response given as the step response of the first-order lag system, the sensor output can be approximated as a sum of exponentials by Prony's method. We have shown that the method can be interpreted by the subspace based identification method. The model parameters can be estimated as the time constant and the gain, which are strongly related to characteristics of gases. The parameters can be used to construct the feature vector for the discrimination of gases. Using the estimates as features, it has shown that the discrimination of gases can be improved.