Study of Passive Chipless IR-UWB Indoor Positioning Based on Time-of-Arrival and Band-Notch
Keywords:
Band-notch, indoor positioning, IR-UWB, TOAAbstract
In the paper, a passive and chipless IR-UWB indoor positioning system is proposed that follows the criteria of spectral and temporal joint identification. In the scenario of a 2D positioning, the system is coordinated by three anchors; a node can then be positioned by recognizing the pulse’s time-of-arrival (TOA) and the pulse’s band-notch in its backscattered spectrum. The model of the positioning system is established and the numerical analysis is committed in terms of a conceived positioning example. Results validate the system that the positioning is accurate, and the accuracy can be further improved by calibrating the value of TOA through the time offset made by the pulses backscattered by the anchor with and without band-notch, respectively.
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References
R. Bharadwaj, S. Swaisaenyakorn, C. G. Parini, et al., “Impulse radio-ultra wideband communications for localization and tracking of human body and limbs movement for healthcare applications,” IEEE Transactions on Antennas & Propagation, vol. 65, no. 12, pp. 7298-7309, Dec. 2017.
A. Alarifi, A. Al-Salman, M. Alsaleh, et al., “Ultra wideband indoor positioning technologies: Analysis and recent advances,” Sensors, vol. 16, no. 5, article 707, 2016.
S. Gezici, Z. Tian, G. B. Giannakis, H. Kobayashi, A. F. Molisch, H. V. Poor, and Z. Sahinoglu, “Positioning via ultra-wideband radios: a look at positioning aspects for future sensor networks,” IEEE Signal Process. Mag., vol. 22, no. 4, pp. 70- 84, July 2005.
D. Dardari, et al., “Ultrawide bandwidth RFID: The next generation?,” Proc. IEEE, vol. 98, no. 9, pp. 1570-1582, Sep. 2010.
R. J. Fontana, “Recent system applications of shortpulse ultra-wideband (UWB) technology,” IEEE Trans. Microw. Theory Tech., vol. 52, no. 9, pp. 2087-2104, Sep. 2004.
M. S. Svalastog, “Indoor Positioning-Technologies, Services and Architectures,” Cand. Scient. Thesis, University of Oslo, Oslo, Norway, 2007.
C. C. Cruz, J. R. Costa, and C. A. Fernandes, “Hybrid UHF/UWB antenna for passive indoor identification and positioning systems,” IEEE Trans. Antennas Propag., vol. 61, no. 1, pp. 354-361, Sep. 2013.
A. Chehri, P. Fortier, and P. M. Tardif, “UWBbased sensor networks for positioning in mining environments,” Ad Hoc Networks., vol. 7, no. 5, pp. 987-1000, 2009.
N. Decarli, F. Guidi, and D. Dardari, “Passive UWB RFID for tag positioning: architectures and design,” IEEE Sensors J., vol. 16, no. 5, pp. 1385-1397, Mar. 2016.
L. Taponecco, A. A. D’Amico, and U. Mengali, “Joint TOA and AOA estimation for UWB positioning applications,” IEEE Trans. Wireless Commun., vol. 10, no. 7, pp. 2207-2217, July 2011.
S. Hu, Y. Zhou, C. L. Law, and W. Dou, “Study of a uniplanar monopole antenna for passive chipless UWB-RFID positioning system,” IEEE Trans. Antennas Propag., vol. 58, no. 2, pp. 271-278, Feb. 2010.
C. A. Balanis, Antenna Theory: Analysis and Design. 3 rd edition, Wiley–Interscience, Hoboken, NJ, 2005.
J. Liu and B. P. Li, “Palladium decorated SWCNTs sensor for detecting methane at room temperature based on UWB-RFID,” Applied Computational Electromagnetics Society Journal., vol. 31, no. 8, pp. 989-996, Aug. 2016.
A. Ramos, A. Lazaro, D. Girbau, et al., “Timedomain measurement of time-coded UWB chipless RFID tags,”Progress in Electromagnetics Research, vol. 116, no. 8, pp. 313-331, 2011.
Y. J. Cho, K. H. Kim, D. H. Choi, S. S. Lee, and S.-O. Park, “A miniature UWB planar monopole antenna with 5-GHz band-rejection filter and the time-domain characteristics,” IEEE Trans. Antennas Propag., vol. 54, no. 5, pp. 1453-1460, May 2006.
K. Chung, J. Kim, and J. Choi, “Wideband microstrip-fed monopole antenna having frequency band-notch function,” IEEE Microw. Wireless Comp. Lett., vol. 15, no. 11, pp. 766-768, Nov. 2005.
B. Tong, X. Wu, L. Xiao, et al., “Dual band-notched ultra-wideband antenna based on U-shaped slit and split ring slot,” Asia-Pacific Microwave Conference, IEEE, pp. 1-3, 2015.
CST Microwave Studio, ver. 2009, Computer Simulation Technology, Framingham, MA, 2009.
