Abstract
Radio frequency identification (RFID) is widely used in many fields and more recently, there has been a continuously growing interest in RFID-based indoor localization. Compared to RSS and AOA based RFID localization algorithms, the carrier phase-based ultra-wideband localization algorithm has better performance. To implement 3D indoor localization with this method, carrier phase of multiple receivers must be obtained in different frequencies. However, existing RFID systems do not meet the requirement. Therefore, this paper proposes a system consisting of a software-defined radio with custom-made RF front-end (SRCF) and ImpinjR420 COTS reader (R420), which can realize data communication between R420 and tags, and achieve the channel coefficient estimation. Moreover, an algorithm is proposed to detect the EPC data backscatter by the tag without any prior information. Experiment results show that the proposed algorithm can correctly decode the EPC data and obtain the channel coefficient information.
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Acknowledgement
This work was supported partly by the Scientific and Technological Research Foundation of Chongqing Municipal Education Commission under grant KJ1704083, the National Natural Science Foundation of China under 61704015, the Fundamental and Frontier Research Project of Chongqing under grant cstc2017jcyjAX0380.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Xie, L., Xiong, X., Kang, Q., Tian, Z. (2019). Backscatter Signal Blind Detection and Processing for UHF RFID Localization System. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 280. Springer, Cham. https://doi.org/10.1007/978-3-030-19153-5_14
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DOI: https://doi.org/10.1007/978-3-030-19153-5_14
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