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Sensors 2016, 16(2), 233;

Suppression of Strong Background Interference on E-Nose Sensors in an Open Country Environment

College of Communication Engineering, Chongqing University, 174 Sha Pingba, Chongqing 400044, China
Advanced Robotics and Intelligent Systems (ARIS) Lab, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
Author to whom correspondence should be addressed.
Academic Editor: W. Rudolf Seitz
Received: 16 November 2015 / Revised: 3 February 2016 / Accepted: 5 February 2016 / Published: 16 February 2016
(This article belongs to the Special Issue Sensors for Agriculture)
Full-Text   |   PDF [9075 KB, uploaded 16 February 2016]   |  


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. View Full-Text
Keywords: electronic nose sensors; outdoor; background interference; suppression electronic nose sensors; outdoor; background interference; suppression

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Tian, F.; Zhang, J.; Yang, S.X.; Zhao, Z.; Liang, Z.; Liu, Y.; Wang, D. Suppression of Strong Background Interference on E-Nose Sensors in an Open Country Environment. Sensors 2016, 16, 233.

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