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.
authors.affiliation: College of Communication Engineering, Chongqing University, 174 Sha Pingba, Chongqing 400044, China. FengchunTian@cqu.edu.cn.
authors.forename: Fengchun
authors.initials: F
authors.lastname: Tian
authors.affiliation: College of Communication Engineering, Chongqing University, 174 Sha Pingba, Chongqing 400044, China. zj_cqu_2007@163.com.
authors.forename: Jian
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Advanced Robotics and Intelligent Systems (ARIS) Lab, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada. syang@uoguelph.ca.
authors.forename: Simon X
authors.initials: SX
authors.lastname: Yang
authors.affiliation: College of Communication Engineering, Chongqing University, 174 Sha Pingba, Chongqing 400044, China. zhenzhen715@163.com.
authors.forename: Zhenzhen
authors.initials: Z
authors.lastname: Zhao
authors.affiliation: College of Communication Engineering, Chongqing University, 174 Sha Pingba, Chongqing 400044, China. liangzhifang0508@163.com.
authors.forename: Zhifang
authors.initials: Z
authors.lastname: Liang
authors.affiliation: College of Communication Engineering, Chongqing University, 174 Sha Pingba, Chongqing 400044, China. 20141202032@cqu.edu.cn.
authors.forename: Yan
authors.initials: Y
authors.lastname: Liu
authors.affiliation: College of Communication Engineering, Chongqing University, 174 Sha Pingba, Chongqing 400044, China. diwangcqu@163.com.
authors.forename: Di
authors.initials: D
authors.lastname: Wang
keywords: background interference; electronic nose sensors; outdoor; suppression