paper presents a novel approach to model and represent chipless radio-frequency identification (RFID) frequency signatures. The approach involves the geometrical representation of chipless RFID frequency signatures in a signal space. A small set of orthonormal basis functions is derived using singular value decomposition in order to represent the 2b possible tag signatures of a b-bit chipless tag. Each tag signature is represented as a point in an L-dimensional signal space, and minimum distance detection is used to extract the information bit sequence of the tag. Detection error probability is also examined through analytical derivations and Monte Carlo simulation. A set of 3-bit tags were fabricated to validate the approach. Experimental results show that the new approach is capable of accurately detecting information contained in chipless RFID tags. This approach offers a solid mathematical framework for developing novel detection methods for chipless tags.
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This work was supported by the Australian Research Council Linkage Project Grant No. LP0991435 (backscatter-based RFID system capable of reading multiple chipless tags for regional and suburban libraries) and Express Promotions Australia Pty Ltd.
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Kalansuriya, P., Karmakar, N.C. & Viterbo, E. On the detection of chipless RFID through signal space representation. Ann. Telecommun. 68, 437–445 (2013). https://doi.org/10.1007/s12243-013-0377-4
- Chipless RFID
- Spiral resonator
- Signal space representation