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A novel fingerprinting using channel state information with MIMO–OFDM

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Abstract

With the increasing demand of location-based services, indoor localization based on fingerprinting has become an increasingly important technique due to its high accuracy and low hardware requirement. The paper presents a novel fingerprinting system with a fine-grained information known as channel state information (CSI). The proposed fingerprint exploits multiple antennas and subcarriers of the IEEE 802.11n network using multiple input multiple output (MIMO)–orthogonal frequency division multiplexing system and takes account into the distance of features in each fingerprint. The experimental performance of the fingerprint is compared with RSSI-based Fingerprinting system and the CSI–MIMO Fingerprinting system. The experiment results show that the system achieves the accuracy of 0.61 and 0.9 m in static and dynamic scenarios respectively.

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Acknowledgements

This work is supported partly by the Natural Science Foundation of Jiangsu Province under Grant (No: BK20140216), the National Key Technology Research and Development Program of the Ministry of Science and Technology of China under Grant (No: 2012BAH12B01), and the National Key Technology Research and Development Program of the Ministry of Science and Technology of China under Grant (No: 2012BAH27B04).

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Authors and Affiliations

  1. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221000, China

    Lei Zhang, Enjie Ding, Zhikai Zhao, Yanjun Hu, Xin Wang & Kai Zhang

  2. IoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou, 221000, China

    Lei Zhang, Enjie Ding, Zhikai Zhao, Yanjun Hu, Xin Wang & Kai Zhang

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  1. Lei Zhang
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  2. Enjie Ding
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  3. Zhikai Zhao
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  4. Yanjun Hu
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  5. Xin Wang
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  6. Kai Zhang
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Correspondence to Yanjun Hu.

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Zhang, L., Ding, E., Zhao, Z. et al. A novel fingerprinting using channel state information with MIMO–OFDM. Cluster Comput 20, 3299–3312 (2017). https://doi.org/10.1007/s10586-017-1072-4

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  • DOI: https://doi.org/10.1007/s10586-017-1072-4

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