This paper deals with the validation of a micro sun sensor under development at the University of Naples. Sun line determination is performed by the centroiding of sun images on the focal plane obtained with a multiple-hole tiny mask. Sensor laboratory calibration is performed with neural-network-based techniques using a home-made test facility. Processing of 1-hole data demonstrates sensor precision better than 1-arcmin. Preliminary results with multiple-hole data show that sensor precision can be improved by averaging multiple sun-images.
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