A new compensation method for sensor-drift effect based on the cross-correntropy concept

Namyong Kim; Hyung Gi Byun; Krishna C. Persaud

doi:10.1166/sl.2011.1598

A new compensation method for sensor-drift effect based on the cross-correntropy concept

Namyong Kim, Hyung Gi Byun, Krishna C. Persaud

Research output: Contribution to journal › Article › peer-review

Abstract

Cross-correntropy which has the characteristics of correlation and entropy can be a generalized similarity measure of two probability density functions (PDFs). In this paper, we apply the cross-correntropy concept to sensor-signal processing for sensor drift compensation by maximizing the correntropy between the Parzen PDF of test-phase system output and the target pattern. The gas sensing system uses a conducting polymer sensor array and signal processing unit equipped with radial basis function network (RBFN). The RBFN weights are readjusted in the test phase by the proposed method for sensor drift compensation. Copyright © 2011 American Scientific Publishers. All rights reserved.

Original language	English
Pages (from-to)	710-713
Number of pages	3
Journal	Sensor Letters
Volume	9
Issue number	2
DOIs	https://doi.org/10.1166/sl.2011.1598
Publication status	Published - Apr 2011

Keywords

Cross-correntropy
Drift compensation
Odour sensing
PDF
Signal processing

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10.1166/sl.2011.1598

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title = "A new compensation method for sensor-drift effect based on the cross-correntropy concept",

abstract = "Cross-correntropy which has the characteristics of correlation and entropy can be a generalized similarity measure of two probability density functions (PDFs). In this paper, we apply the cross-correntropy concept to sensor-signal processing for sensor drift compensation by maximizing the correntropy between the Parzen PDF of test-phase system output and the target pattern. The gas sensing system uses a conducting polymer sensor array and signal processing unit equipped with radial basis function network (RBFN). The RBFN weights are readjusted in the test phase by the proposed method for sensor drift compensation. Copyright {\textcopyright} 2011 American Scientific Publishers. All rights reserved.",

keywords = "Cross-correntropy, Drift compensation, Odour sensing, PDF, Signal processing",

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AB - Cross-correntropy which has the characteristics of correlation and entropy can be a generalized similarity measure of two probability density functions (PDFs). In this paper, we apply the cross-correntropy concept to sensor-signal processing for sensor drift compensation by maximizing the correntropy between the Parzen PDF of test-phase system output and the target pattern. The gas sensing system uses a conducting polymer sensor array and signal processing unit equipped with radial basis function network (RBFN). The RBFN weights are readjusted in the test phase by the proposed method for sensor drift compensation. Copyright © 2011 American Scientific Publishers. All rights reserved.

KW - Cross-correntropy

KW - Drift compensation

KW - Odour sensing

KW - PDF

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A new compensation method for sensor-drift effect based on the cross-correntropy concept

Abstract

Keywords

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