Recognition of acoustic effective relaxational lines for gas detection using minimum distance clustering

Abstract

Acoustic propagation characteristics, i.e., the frequency-dependent sound speed and absorption depend upon the composition of the gas. The position of an acoustic absorption peak can be synthesized by the measured acoustic propagation characteristics at two frequencies. In this paper, we propose a sensing method based on the minimum distance clustering to recognize acoustic effective relaxational Lines, which are composed of acoustic absorption spectral peaks, for gas concentration detection. Simulation results demonstrate that the proposed method can extract the information of gas concentration and environmental temperature from the recognized acoustic effective relaxational Lines.