Detection of vapor emitting source

Author

Cheng, Qi ; Hua, Yingbo

Author_Institution

Sch. of Electr. Eng., Northern Territory Univ., Darwin, NT, Australia

Volume

1

fYear

1997

fDate

2-5 Nov. 1997

Firstpage

864

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-8316-3

Type

conf

DOI

10.1109/ACSSC.1997.680566

Filename

680566