Detection of vapor emitting source

Qi Cheng, Yingbo Hua

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Pages (from-to)864-866
Number of pages3
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
Publication statusPublished - 1998
Externally publishedYes
EventProceedings of the 1997 31st Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: 2 Nov 19975 Nov 1997

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