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Source separation based processing for integrated Hall sensor arrays

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3 Author(s)
Paraschiv-Ionescu, A. ; Lab. des Images et des Signaux, CNRS, Grenoble, France ; Jutten, C. ; Bouvier, G.

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.

Published in:

Sensors Journal, IEEE  (Volume:2 ,  Issue: 6 )