Source separation based processing for integrated Hall sensor arrays

Integrated arrays of Hall-type magnetic sensors are generally subject to significant crosstalk due to poor spatial selectivity of very closely spaced sensors. In this paper, we explore blind source separation as a signal processing technique to unmix a number of magnetic sources that impinge on the...

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Bibliographic Details
Published inIEEE sensors journal Vol. 2; no. 6; pp. 663 - 673
Main Authors Paraschiv-Ionescu, A., Jutten, C., Bouvier, G.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2002
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:Integrated arrays of Hall-type magnetic sensors are generally subject to significant crosstalk due to poor spatial selectivity of very closely spaced sensors. In this paper, we explore blind source separation as a signal processing technique to unmix a number of magnetic sources that impinge on the array. The processing consists of two stages: the first one estimates the source number and projects the observations on the signal subspace; the second stage is a source separation algorithm. Experimental results from a silicon array of Hall sensors, interfaced with a DSP, demonstrate real-time separation of two magnetic sources even under ill-conditioning of the mixing matrix.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2002.807302