Signal Processing Techniques for Improved Performance of a SQUID-Based Metal-Detector

Author

Blay, Kyle R. ; Weiss, Florian ; Clark, David A. ; De Groot, Gerard J J B ; Bick, Marcel ; Sen, Deep

Author_Institution

Mater. Sci. & Eng. Div., Commonwealth Sci. & Ind. Res. Organ. (CSIRO), Sydney, NSW, Australia

Volume

19

Issue

3

fYear

2009

fDate

6/1/2009 12:00:00 AM

Firstpage

812

Lastpage

815

Abstract

A SQUID-based prototype sensor system for the detection of stainless steel contaminants in food has been previously reported . In this work, we describe the use of adaptive filters, matched filter correlation and component estimation algorithms for automatic contaminant detection for this system. The specification of the probability of false positives-using statistical analysis-allows the resulting contaminant detection limit to be determined. These improvements will enable commercial operation of SQUID-based stainless-steel detection systems in standard factory environments with acceptable correct and false positive detection rates.

Keywords

SQUIDs; adaptive filters; matched filters; metal detectors; object detection; statistical analysis; SQUID-based metal-detector; adaptive filters; automatic contaminant detection; component estimation algorithms; contaminant detection limit; matched filter correlation; probability of false positives; signal processing technique; stainless-steel detection system; statistical analysis; Anderson functions; SQUID gradiometer; dipole detector; matched filter; metal detector;

fLanguage

English

Journal_Title

Applied Superconductivity, IEEE Transactions on

Publisher

ieee

ISSN

1051-8223

Type

jour

DOI

10.1109/TASC.2009.2017857

Filename

4914763