Design and Evaluation of an RFID Localization System based on Read Count

References

• Y. L. Lai, and J. Cheng, “A 2.45-GHz RFID wireless-sensor-network location tracking system,” in Proc.17th IEEE International Symposium on Consumer Electron, Hsinchu, 2013, pp. 133–4.
   Google Scholar
• A. Levratti, C. Secchi, and C. Fantuzzi, “A low cost localization algorithm for an autonomous lawnmower,” in Proc. 9th International Workshop on Robot Motion and Control, Kuslin, Poland, 2013, pp. 276–81.
   Google Scholar
• A. Buffi, P. Nepa, and G. Manara, “An indoor propagation model for development and testing of UHF-RFID tag localization techniques,” in Proc. International Conference on Electromagnetics in Advanced Applications, Torino, Italy, 2013, pp. 1012–5.
   Google Scholar
• Y. Liu, and Y. Qiu, “An indoor localization of UHF RFID using a hybrid approach,” in Proc. 2nd International Conference on Consumer Electronics, Communications and Networks, Yichang, China, 2012, pp. 1653–6.
   Google Scholar
• Z. Zou, T. Deng, Q. Zou, M. D. Sarmiento, F. Jonsson, and L. Zheng, “Energy detection receiver with TOA estimation enabling positioning in passive UWB-RFID system,” in Proc. IEEE International Conference on Ultra-wideband, Nanjing, China, 2010, pp. 1–4.
   Google Scholar
• A. Fawky, M. Khaliel, A. Awamry, and T. Kaiser, “Frequency coded chipless RFID tag localization using multiple antennas,” in Proc. 11th European Conference on Antennas and Propagation, Paris, France, 2017, pp. 2075–9.
   Google Scholar
• Z. Ai, and Y. Liu, “Research on the TDOA measurement of active RFID real time location system,” in Proc. of 3rd International Conference on Computer Science and information technology, Chengdu, China, 2010, pp. 410–2.
   Google Scholar
• Y. Ma, L. Zhou, K. Liu, and J. Wang, “Iterative phase Reconstruction and weighted localization algorithm for indoor RFID-based localization in NLOS environment,” IEEE Sensors J., Vol. 14, no. 2, pp. 597–611, Feb. 2014.
   Web of Science ®Google Scholar
• P. V. Nikitin, R. Martinez, S. Ramamurthy, H. Leland, G. Spiess, and K. V. S. Rao, “Phase based spatial identification of UHF RFID tags,” in Proc. IEEE International Conference on RFID, Orlando, FL, USA, 2010, pp. 102–9.
   Google Scholar
• A. Povalac, and J. Sebesta, “Phase difference of arrival distance estimation for RFID tags in frequency domain,” in Proc. IEEE International Conference on RFID Technologies and Applications, Sitges, Spain, 2011, pp. 188–93.
   Google Scholar
• L. Görtschacher, J. Grosinger, and H. N. Khan, “SDR based RFID reader for passive tag localization using phase difference of arrival techniques,” in Proc. IEEE MTT-S International Microwave Symposium, San Francisco, CA, USA, 2016, pp. 1–4.
   Google Scholar
• J. S. Choi, H. K. Kang, J. E. Kim, D. H. Lee, and H. Lee, “Object localization using intended signal blocking in passive UHF Far-field systems,” in Proc. 8th International Conference on Computing Technology and Information Management, Seoul, South Korea, 2012, pp. 510–4.
   Google Scholar
• J. S. Choi, B. R. Son, H. K. Kang, and D. H. Lee, “Indoor localization of unmanned aerial vehicle based on passive UHF RFID systems,” in Proc. 9th International Conference on Ubiquitous Robots and Ambient Intelligence, Daejeon, South Korea, 2012, pp. 188–9.
   Google Scholar
• R. Miesen, F. Kirsch, and M. Vossiek, “UHF RFID localization based on Synthetic Apertures,” IEEE Trans. Autom. Sci. Eng., Vol. 10, no. 3, pp. 807–15, July 2013.
   Web of Science ®Google Scholar
• A. Buffi, A. Motroni, P. Nepa, B. Tellini, and R. Cioni, “A SAR-based measurement method for passive-tag positioning with a flying UHF-RFID reader,” IEEE Trans. Instrum. Meas., Vol. 68, no. 3, pp. 845–853, Mar. 2019.
   Web of Science ®Google Scholar
• A. Tzitzis, S. Megalou, S. Siachalou, T. G. Emmanouil, and A. Keh, “Localization of RFID tags by a moving robot, via phase unwrapping and non-linear optimization,” IEEE J. Radio Freq. Identific, Vol. 3, no. 4, pp. 216–26,Dec. 2019.
   Google Scholar
• W. Zhu, J. Cao, Y. Xu, L. Yang, and J. Kong, “Fault-tolerant RFID reader localization based on passive RFID tags,” IEEE Trans. Parallel Distrib. Syst., Vol. 25, no. 08,pp. 2065–76, 2014.
   Google Scholar
• J. Maneesilp, C. Wang, H. Wu, and N. Tzeng, “RFID support for accurate 3D localization,” IEEE Trans. Comput., Vol. 62, no. 7, pp. 1447–59, July 2013.
   Web of Science ®Google Scholar
• H. Cheng, J. Tan, Y. Liu, and W. Ni, “An intelligent RFID data predicting method based on BP-adaboost,” in Proc. 6th International Conference on New Trends in Information Science, Service Science and Data Mining, Taipei, Taiwan, 2012, pp. 628–32.
   Google Scholar
• V. Seshadri, G. V. Zaruba, and M. Huber, “A Bayesian sampling approach to in-door localization of wireless devices using received signal strength indication,” in Proc. 3rd IEEE International Conf. on Pervasive Computing and Communications, Kauai Island, HI, USA, 2005, pp. 75–84.
   Google Scholar
• T. Roos, “A probabilistic approach to WLAN user location estimation,” Intt. J. Wirel. Info. Netw., Vol. 9 (July 2002), pp. 155–164.
   Google Scholar
• D. Milioris, G. Tzagkarakis, M. Papadopouli, and P. Tsakalides, “Low-dimensional signal-strength fingerprint-based positioning in wireless LANs,” Ad. Hoc. Netw., Vol. 12, pp. 100–14, Jan. 2014.
   Web of Science ®Google Scholar
• C. Li, L. Mo, and D. Zhang, “Review on UHF RFID localization methods,” IEEE J. Radio Freq. Identif., Vol. 3, no. 4, pp. 205–15, Dec. 2019.
   Google Scholar
• S. Wagner, M. Handte, M. Zuniga, and P. J. Marrón, “Enhancing the performance of indoor localization using multiple steady tags,” Pervasive Mob. Comput., Vol. 9, no. 3, pp. 392–405, June 2013.
   Web of Science ®Google Scholar
• X. Huang, S. Guo, Y. Wua, and Y. Yang, “A fine-grained indoor fingerprinting localization based on magnetic field strength and channel state information,” Pervasive Mob. Comput., Vol. 41, pp. 150–165, Oct. 2017.
   Web of Science ®Google Scholar
• A. Garcia, S. Fortes, E. Colin, and R. Barco, “Enhancing RFID indoor localization with cellular technologies,” EURASIP J. Wirel. Commun. Netw., Vol. 219 (2015). doi:10.1186/s13638-015-0444-9.
   Google Scholar
• J. Su, G. Wen, and D. Hong, “A New RFID anti-collision algorithm based on the Q-Ary Search Scheme,” Chin. J. Electron., Vol. 24, no. 4, pp. 679–683, 2015.
   Web of Science ®Google Scholar
• F. Martinelli, “A robot localization system combining RSSI and phase shift in UHF-RFID signals,” IEEE Trans. Control Syst. Tech., Vol. 23, no. 5, pp. 1782–1796, Jan. 2015.
   Web of Science ®Google Scholar
• Y. Ma, C. Tian, and Y. Jiang, “A multitag cooperative localization algorithm based on weighted multidimensional scaling for passive UHF RFID,” IEEE Internet Things J., Vol. 6, no. 4, pp. 6548–6555, Mar. 2019.
   Web of Science ®Google Scholar
• J. Li, B. Zhang, H. Liu, L. Yu, and Z. Wang, “An indoor hybrid localization approach based on signal propagation model and fingerprinting,” Int. J. Smart Home, Vol. 7, no. 6, pp. 157–70, 2013.
   Google Scholar
• R. Hsiao, C. H. Kao, T. X. Chen, and J. Chen, “A passive RFID-based location system for personnel and asset monitoring,” Technol. Health Care, Vol. 26, no. 1, pp. 11–16, Mar. 2018.
   PubMed Web of Science ®Google Scholar
• W. Ruan, Q. Z. Sheng, L. Yao, X. Li, N. J. G. Falkner, and L. Yang, “Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach,” J. Netw. Comput. Appl., Vol. 104, pp. 78–96, Feb. 2018.
   Web of Science ®Google Scholar