利用隐马尔可夫模型识别无源超高频RFID标签

2014 IEEE Radio and Wireless Symposium (RWS) Pub Date : 2014-06-12 DOI:10.1109/RWS.2014.6830119

B. Alsaify, D. Thompson, J. Di

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引用次数: 1

摘要

在这项工作中，我们使用隐马尔可夫模型识别rfid标签。通过隔离标签的传输，我们通过获得的传输来区分标签。隐马尔可夫模型的实验结果表明，不同的观测值组合在一起时，系统的性能得到了提高。该系统在识别标签制造商时的准确率为97.67%，在识别单个标签时的准确率为98.04%。

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Exploiting hidden Markov models in identifying passive UHF RFID tags

In this work, we identify RIFD tags using hidden Markov models. By isolating the tag's transmission, we differentiate tags by their acquired transmissions. The results acquired from experimenting with hidden Markov models show that the system's performance will improve when different observations are combined together. The proposed system yielded an accuracy of 97.67% when identifying a tag's manufacturer and an accuracy of 98.04% when identifying individual tags.

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来源期刊

2014 IEEE Radio and Wireless Symposium (RWS)

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