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Proceedings Paper

ICA-based UHF RFID multi-tag hybrid data blind separation
Author(s): Hua Li; Hong-jun Wang; Zi-liang Song
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Paper Abstract

This work presents an ICA-based UHF RFID multi-tag hybrid data blind separation algorithm. After analysis, we find that UHF RFID multi-tag hybrid data is consistent with the requirements of ICA algorithm. Simulated experimental results show that excellent results can be obtained by using ICA techniques in blind separating of tags data. For evaluating the separation performance objectively, a new indicator- the Similarity of Sources and Results (SSR) is defined. The anti- noise performance of this algorithm is analyzed quantitatively too. A good theoretical and experimental basis for applying blind separation technology to UHF RFID tags anti-collision algorithm has been established in this paper.

Paper Details

Date Published: 13 March 2013
PDF: 8 pages
Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 878410 (13 March 2013); doi: 10.1117/12.2013936
Show Author Affiliations
Hua Li, Shandong Univ. (China)
Hong-jun Wang, Shandong Univ. (China)
Zi-liang Song, Shandong Univ. (China)


Published in SPIE Proceedings Vol. 8784:
Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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