Multi-tag radio-frequency identification systems based on new blind source separation neural networks

Neurocomputing

Volumn 49, Issue 1-4, 2002, Pages 369-388

  Deville, Y ^a   Damour, J ^b   Charkani, N ^c  

^a UNIVERSITÉ DU MAINE   (France)

^b PHILIPS RESEARCH LABORATORIES   (Germany)

^c Philips Consumer Communications   (France)

Author keywords

Artificial neural network; Blind source separation; Identification system; Radio frequency communication; Self normalized algorithm

Indexed keywords

BLIND SOURCE SEPARATION; COMPUTER WORKSTATIONS; IDENTIFICATION (CONTROL SYSTEMS); REAL TIME SYSTEMS;

SELF-NORMALIZED OPERATIONS;

RADIO SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; DEVICE; INFORMATION PROCESSING; NORMAL DISTRIBUTION; PERFORMANCE; PRIORITY JOURNAL; RADIOFREQUENCY; SEPARATION TECHNIQUE; WORK ENVIRONMENT;

EID: 0036953083     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(02)00514-3     Document Type: Article

References (22)

1. J.-F. Cardoso, Blind signal separation: statistical principles, Proc. IEEE 86 (1998) 2009-2025.
2. A. Cichocki, W. Kasprzak, S.I. Amari, Multi-layer neural networks with a local adaptive learning rule for blind separation of source signals, Proceedings of the NOLTA '95, International Symposium on Nonlinear Theory and Its Applications, Las Vegas, 1995, pp. 61-65.
3. N. Delfosse, P. Loubaton, Adaptive blind separation of independent sources: a deflation approach, Signal Process. 45 (1995) 59-84.
4. P.R.M. Denne, C.D. Hook, Identification systems, UK patent no. 2 157 132 A, 16 October 1985.
5. Y. Deville, A unified stability analysis of the Hérault-Jutten source separation neural network, Signal Process. 51 (1996) 229-233.
6. Y. Deville, Application of the Hérault-Jutten source separation neural network to multi-tag radio-frequency identification systems, Proceedings of the Ecole des Techniques Avancées en Signal Image Parole, Grenoble, 1996, pp. 265-272.
7. Y. Deville, Analysis of the convergence properties of self-normalized source separation neural networks, IEEE Trans. Signal Process. 47 (1999) 1272-1287.
8. Y. Deville, N. Charkani, Analysis of the stability of time-domain source separation algorithms for convolutively mixed signals, Proceedings of the ICASSP 97, IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE Press, Munich, 1997, pp. 1835-1838.
9. Y. Deville, N. Charkani, Convergence of source separation neural networks operating with self-normalized weight updating terms, Proceedings of the ICA'99, International Workshop on Independent Component Analysis and Blind Signal Separation, Aussois, France, 1999, pp. 227-232.
10. S. Drews, W. Tobergte, V. Timm, K. Axer, Verfahren zum Steuern des Zugriffs auf einen Speicher sowie Anordnung zur Durchfuehrung des Verfahrens, German patent no. 4205567.9, European patent no. 0558132, 26 August 1993.
11. J.-C. Fort, Stabilité de l'algorithme de séparation de sources de Jutten et Hérault, Traitement Signal 8 (1991) 35-42.
12. C.D. Hook, C.S. Hall, Transponder system, European patent no. 0 527 172 B1, 5 April 1995.
13. A. Hyvärinen, E. Oja, A fast fixed-point algorithm for independent component analysis, Neural Comput. 9 (1997) 1483-1492.
14. C. Jutten, J. Hérault, Une solution neuromimétique au problème de séparation de sources, Traitement Signal 5 (1988) 389-403.
15. C. Jutten, J. Hérault, Blind separation of sources, Part I: an adaptive algorithm based on neuromimetic architecture, Signal Process. 24 (1991) 1-10.
16. O. Macchi, E. Moreau, Self-adaptive source separation, Part I: convergence analysis of a direct linear network controled by the Hérault-Jutten algorithm, IEEE Trans. Signal Process. 45 (1997) 918-926.
17. E. Moreau, Apprentissage et adaptativité. Séparation auto-adaptative de sources indépendantes, Ph.D. Thesis, Université Paris XI, Orsay, 1995.
18. E. Moreau, O. Macchi, Self-adaptive source separation, Part II: comparison of the direct, feedback and mixed linear network, IEEE Trans. Signal Process. 46 (1998) 39-50.
19. Philips Semiconductors data sheet, OM 4282 RF-Identification, Hardware description & tutorial, ID-No: 8962D26CEA20068F.
20. Philips Semiconductors data sheet, OM 4282 RF-Identification, Software command reference & RS 232 transmission protocol, ID-No: 7F3C1206084C995E.
21. E. Sorouchyari, Blind separation of sources, Part III: stability analysis, Signal Process. 24 (1991) 21-29.
22. W. Tobergte, Datenaustauschanordnung, German patent no. 4323530.1, European patent no. 0634729, 19 January 1995. F