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                 [15]   Zhang D, Gao R, Wang X, Niu K. Sensing SNR: The key to discover ubiquitous wireless sensing mechanisms. Communications of CCF,
                     2024, 20(3): 10–15 (in Chinese with English abstract).
                 [16]   Li  Y,  Zhang  YL,  Ding  Y,  Ma  S,  Xiao  SP,  Xiao  JM,  Li  J.  Research  progress  and  evolution  prospect  of  passive  Internet  of  Things
                     communication. Chinese Journal on Internet of Things, 2023, 7(3): 15–23 (in Chinese with English abstract). [doi: 10.11959/j.issn.2096-
                     3750.2023.00315]
                 [17]   Wang J, Chang LQ, Abari O, Keshav S. Are RFID sensing systems ready for the real world? In: Proc. of the 17th Annual Int’l Conf. on
                     Mobile Systems, Applications, and Services. Seoul: ACM, 2019. 366–377. [doi: 10.1145/3307334.3326084]
                 [18]   Wang CY, Xie L, Zhao YC, Zhang DQ, Ye BL, Lu SL. Survey on RFID-based battery-less sensing. Ruan Jian Xue Bao/Journal of
                     Software, 2022, 33(1): 297–323 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/6344.htm [doi: 10.13328/j.cnki.jos.
                     006344]
                 [19]   Zhang Y, Xie L, Bu YL, Wang Y, Wu J, Lu SL. 3-dimensional localization via RFID tag array. In: Proc. of the 14th IEEE Int’l Conf. on
                     Mobile Ad Hoc and Sensor Systems (MASS). Orlando: IEEE, 2017. 353–361. [doi: 10.1109/MASS.2017.22]
                 [20]   Gong YY, Xie L, Wang CY, Bu YL, Lu SL. RF-Brush: 3D human-computer interaction via linear tag array. In: Proc. of the 15th IEEE Int’l
                     Conf. on Mobile Ad Hoc and Sensor Systems (MASS). Chengdu: IEEE, 2018. 290–298. [doi: 10.1109/MASS.2018.00051]
                 [21]   Wang CY, Liu J, Chen YY, Xie L, Liu HB, Lu S. RF-Kinect: A wearable RFID-based approach towards 3D body movement tracking.
                     Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2018, 2(1): 41. [doi: 10.1145/3191773]
                 [22]   Wang CY, Liu J, Chen YY, Liu HB, Xie L, Wang W, He BB, Lu SL. Multi-touch in the air: Device-free finger tracking and gesture
                     recognition via COTS RFID. In: Proc. of the 2018 IEEE Conf. on Computer Communications. Honolulu: IEEE, 2018. 1691–1699. [doi:
                     10.1109/INFOCOM.2018.8486346]
                 [23]   Wang H, Zhang DQ, Ma JY, Wang YS, Wang YX, Wu D, Gu T, Xie B. Human respiration detection with commodity WiFi devices: Do
                     user  location  and  body  orientation  matter?  In:  Proc.  of  the  2016  ACM  Int’l  Joint  Conf.  on  Pervasive  and  Ubiquitous  Computing.
                     Heidelberg: ACM, 2016. 25–36. [doi: 10.1145/2971648.2971744]
                 [24]   Qian HY, Li Y, Wang Q, Wang YM, Xiao SP. Passive IoT-based positioning technology development status and evolutionary trends.
                     Telecommunications Science, 2024, 40(7): 96–107 (in Chinese with English abstract). [doi: 10.11959/j.issn.1000-0801.2024085]
                 [25]   Xiong TW, Liu JJ, Yang YQ, Tan X, Min H. Design and implementation of a passive UHF RFID-based real time location system. In:
                     Proc. of the 2010 Int’l Symp. on VLSI Design, Automation and Test. Hsinchu: IEEE, 2010. 95–98. [doi: 10.1109/VDAT.2010.5496700]
                 [26]   Zhang L, Zhang T, Shin HS. An efficient constrained weighted least squares method with bias reduction for TDOA-based localization.
                     IEEE Sensors Journal, 2021, 21(8): 10122–10131. [doi: 10.1109/JSEN.2021.3057448]
                 [27]   Nikitin PV, Martinez R, Ramamurthy S, Leland H, Spiess G, Rao KVS. Phase based spatial identification of UHF RFID tags. In: Proc. of
                     the 2010 IEEE Int’l Conf. on RFID. Orlando: IEEE, 2010. 102–109. [doi: 10.1109/RFID.2010.5467253]
                 [28]   Zhou JR, Zhang HJ, Mo LF. Two-dimension localization of passive RFID tags using AOA estimation. In: Proc. of the 2011 IEEE Int’l
                     Instrumentation and Measurement Technology Conf. Hangzhou: IEEE, 2011. 1–5. [doi: 10.1109/IMTC.2011.5944170]
                 [29]   Ni LM, Liu YH, Lau YC, Patil AP. LANDMARC: Indoor location sensing using active RFID. In: Proc. of the 1st IEEE Int’l Conf. on
                     Pervasive Computing and Communications. Fort Worth: IEEE, 2003. 407–415. [doi: 10.1109/PERCOM.2003.1192765]
                 [30]   Xu H, Wu MX, Li P, Zhu F, Wang RC. An RFID indoor positioning algorithm based on support vector regression. Sensors, 2018, 18(5):
                     1504. [doi: 10.3390/s18051504]
                 [31]   Wen QG, Liang YC, Wu CG, Tavares A, Han XS. Indoor localization algorithm based on artificial neural network and radio-frequency
                     identification reference tags. Advances in Mechanical Engineering, 2018, 10(12): 1–12. [doi: 10.1177/1687814018808682]
                 [32]   Wu X, Deng FM, Chen ZB. RFID 3D-LANDMARC localization algorithm based on quantum particle swarm optimization. Electronics,
                     2018, 7(2): 19. [doi: 10.3390/electronics7020019]
                 [33]   Miesen R, Kirsch F, Vossiek M. Holographic localization of passive UHF RFID transponders. In: Proc. of the 2011 IEEE Int’l Conf. on
                     RFID. Orlando: IEEE, 2011. 32–37. [doi: 10.1109/RFID.2011.5764633]
                 [34]   Yang L, Chen YK, Li XY, Xiao CW, Li M, Liu YH. Tagoram: Real-time tracking of mobile RFID tags to high precision using COTS
                     devices. In: Proc. of the 20th Annual Int’l Conf. on Mobile Computing and Networking. Maui: ACM, 2014. 237–248. [doi: 10.1145/
                     2639108.2639111]
                 [35]   Wu HB, Tao B, Gong ZY, Yin ZP, Ding H. A fast UHF RFID localization method using unwrapped phase-position model. IEEE Trans.
                     on Automation Science and Engineering, 2019, 16(4): 1698–1707. [doi: 10.1109/TASE.2019.2895104]
                 [36]   Tzitzis A, Chatzistefanou AR, Yioultsis TV, Dimitriou AG. A real-time multi-antenna SAR-based method for 3D localization of RFID
                     tags by a moving robot. IEEE Journal of Radio Frequency Identification, 2021, 5(2): 207–221. [doi: 10.1109/JRFID.2021.3070409]
                 [37]   Gareis M, Fenske P, Carlowitz C, Vossiek M. Particle filter-based SAR approach and trajectory optimization for real-time 3D UHF-RFID
                     tag localization. In: Proc. of the 2020 IEEE Int’l Conf. on RFID. Orlando: IEEE, 2020. 1–8. [doi: 10.1109/RFID49298.2020.9244917]
                 [38]   Han JS, Ding H, Qian C, Xi W, Wang Z, Jiang ZP, Shangguan LF, Zhao JZ. CBID: A customer behavior identification system using
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