Title
Suppression of Strong Background Interference on E-Nose Sensors in an Open Country Environment.
Abstract
The feature extraction technique for an electronic nose (e-nose) applied in tobacco smell detection in an open country/outdoor environment with periodic background strong interference is studied in this paper. Principal component analysis (PCA), Independent component analysis (ICA), re-filtering and a priori knowledge are combined to separate and suppress background interference on the e-nose. By the coefficient of multiple correlation (CMC), it can be verified that a better separation of environmental temperature, humidity, and atmospheric pressure variation related background interference factors can be obtained with ICA. By re-filtering according to the on-site interference characteristics a composite smell curve was obtained which is more related to true smell information based on the tobacco curer's experience.
Year
DOI
Venue
2016
10.3390/s16020233
SENSORS
Keywords
Field
DocType
background interference,suppression,outdoor,electronic nose sensors
Electronic nose,Multiple correlation,Analytical chemistry,A priori and a posteriori,Feature extraction,Independent component analysis,Interference (wave propagation),Engineering,Environmental temperature,Principal component analysis
Journal
Volume
Issue
ISSN
16
2.0
1424-8220
Citations 
PageRank 
References 
2
0.40
0
Authors
7
Name
Order
Citations
PageRank
Fengchun Tian12710.47
Jian Zhang220.40
Simon X. Yang31029124.34
Zhenzhen Zhao420.74
Zhifang Liang5123.39
Yan Liu620.74
Di Wang721.08