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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 fi rstorder lag system, the sensor output can be approximated as a sum of exponentials by Prony’s method. The model parameters can be estimated as the time constant and the gain, which are inherent parameters for each gas. The parameters can be used as features for the discrimination of gases. Using the extracted features, the discrimination of gases will be achieved even if only a single sensor is used. The parameter estimation procedure is basically an offl ine algorithm. We will then show an online estimation procedure for feature extraction with a low computational burden.

EStudy on Feature Extraction of Semiconductor Gas Sensor Based on Prony's Method