Title :
Detection of vapor emitting source
Author :
Cheng, Qi ; Hua, Yingbo
Author_Institution :
Sch. of Electr. Eng., Northern Territory Univ., Darwin, NT, Australia
Abstract :
We present two new methods for (binary) detection of vapor emitting source using an array of surface acoustic wave (SAW) sensors. The first method is an application of the maximum a posteriori (MAP) principle. The second method exploits the simple concept of signal power thresholding (SPT). We show that the SPT method is much more efficient in computation and much more accurate in detection than the MAP method as well as the modified generalized likelihood ratio (MGLR) methods by Nehorai et al. (see Transactions on Signal Processing, v.43, no.1, p.243-53, 1995).
Keywords :
gas sensors; maximum likelihood detection; surface acoustic wave sensors; surface acoustic waves; MAP method; MGLR methods; SAW sensor array; binary detection; data model; maximum a posteriori principle; modified generalized likelihood ratio; signal power thresholding; surface acoustic wave sensors; vapor emitting source detection; Acoustic arrays; Acoustic sensors; Acoustic signal detection; Acoustic waves; Density measurement; Noise measurement; Sensor arrays; Surface acoustic waves; Time measurement; Volume measurement;
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-8316-3
DOI :
10.1109/ACSSC.1997.680566
