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Application of Blind Source Separation Techniques to Multi-Tag Contactless Identification Systems
Yannick DEVILLE Laurence ANDRY
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1996/10/25
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section on Nonlinear Theory and its Applications (NOLTA))
Category: Sequence, Time Series and Applications
blind source separation, Herault-Jutten algorithm, higher-order statistics, identification systems, neural networks.,
Full Text: PDF(489KB)>>
Electronic systems are progressively replacing mechanical devices or human operation for identifying people or objects in everyday-life applications. Especially, the contactless identification systems available today have several advantages, but they cannot handle easily several simultaneously present items. This paper describes a solution to this problem, based on blind source separation techniques. The effectiveness of this approach is experimentally demonstrated, especially by using a real-time DSP-based implementation of the proposed system.