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 journalArticlepeer-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 languageEnglish
    Pages (from-to)710-713
    Number of pages3
    JournalSensor Letters
    Volume9
    Issue number2
    DOIs
    Publication statusPublished - Apr 2011

    Keywords

    • Cross-correntropy
    • Drift compensation
    • Odour sensing
    • PDF
    • Signal processing

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