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Indoor positioning and asset tracking have become popular and essential for different applications and use cases. Many systems use Bluetooth Low Energy (BLE) wireless personal area network technology for communication and ranging purposes. Unfortunately, due to limitations of the ISM radio band, other communication technologies such as Z-Wave, ZigBee, and Wi-Fi also use the same frequency bandwidth. This overlap often leads to interference that affects the performance of BLE systems. This work evaluates the effect of Wi-Fi interference on the phase-based ranging distance estimate for different BLE to Wi-Fi signal power ratios. We show the random distance error increasing more than 3 times for both Inverse Fourier Transform and Multiple Signal Classification algorithms at short distances. Based on simulation results and infield experiments, we identified that the interference becomes marginal for distances more than 10m, and the device can’t identify the location correctly in case of similar Wi-Fi and BLE Tx power. In the case of long-distance ranging, ignoring interfered frequencies improves the situation dramatically, but this results in worse resolution and sometimes may identify the distance incorrectly due to false peaks.
Rocznik
Tom
Strony
19
Opis fizyczny
Bibliogr. 21 poz., rys.
Twórcy
autor
- Ivan Franko National University of Lviv, Ukraine
autor
- Lviv Polytechnic National University, Ukraine
autor
- Ivan Franko National University of Lviv, Ukraine
autor
- Ivan Franko National University of Lviv, Ukraine
Bibliografia
- [1] Number of Internet of Things (IoT) connected devices worldwide from 2019 to 2030, https://www.statista.com/statistics/1183457/iot-connected-devices-worldwide/; 2023 (accessed 13 May 2024).
- [2] P. Barsocchi, M.G. Cimino, E. Ferro, A. Lazzeri, F. Palumbo, G. Vaglini, Monitoring elderly behavior via indoor position-based stigmergy, Pervasive and Mobile Computing. 23 (2015) 26-42. https://doi.org/10.1016/j.pmcj.2015.04.003
- [3] X. Lu, Y. Yin, N. Zhao, H. Wei, 2021. Indoor positioning experiment based on phase ranging with Bluetooth low energy (BLE). Journal of Physics: Conference Series. 1971, e012044. https://doi.org/10.1088/1742-6596/1971/1/012044
- [4] J. Wisanmongkol, L. Klinkusoom, T. Sanpechuda, L. Kovavisaruch, K. Kaemarungsi, Multipath mitigation for RSSI-Based bluetooth low energy localization. In 19th Inter. Symp. on Commun. and Inform. Technol. (ISCIT), 2019, p. 47-51. https://doi.org/10.1109/ISCIT.2019.8905164
- [5] A.G. Abdellatif, A.A. Salama, H.S. Zied, A.A. Elmahallawy, M.A. Shawky, 2023. An improved indoor positioning based on crowd-sensing data fusion and particle filter, Physical Communication. 61, e102225. https://doi.org/10.1016/j.phycom.2023.102225
- [6] Introducing RTT in Bluetooth https://www.bluetooth.com/specifications/specs/introducing-rtt-in-bluetooth-nwp/ ; 2019 (accessed 15 March 2024).
- [7] G. Shen, R. Zetik, H. Yan, O. Hirsch, R.S. Thoma, Time of arrival estimation for range-based localization in UWB sensor networks. In IEEE Inter. Conf. on Ultra-Wideband, 2010, p. 1-4. https://doi.org/10.1109/ICUWB.2010.5614041
- [8] W. Kluge, E. Sachse, Distance measurement between two nodes of a radio network. Mar. 2013, US Patent App. 13/849,166.
- [9] P. Zand, J. Romme, J. Govers, F. Pasveer, G. Dolmans, A high-accuracy phase-based ranging solution with Bluetooth low energy (BLE). In IEEE Wireless Commun. and Network. Conf., 2019, p. 1-8. https://doi.org/10.1109/WCNC.2019.8885791
- [10] E. Yuan, W. Qi, P. Liu, L. Wei, L. Chen, Ranging method for navigation based on high-speed frequency-hopping signal, IEEE Access.6 (2018) 4308-4320. https://doi.org/10.1109/ACCESS.2017.2787801
- [11] P. Boer, J. Romme, J. Govers, G. Dolmans Performance of high-accuracy phase-based ranging in multipath environments. In Proc. IEEE Int. Conf. Vehicular Tech. Conf., 2020, pp. 1-5. https://doi.org/10.1109/VTC2020-Spring48590.2020.9128721
- [12] R. Miesen, F. Kirsch, P. Groeschel, M. Vossiek, Phase based multi carrier ranging for UHF RFID. In IEEE Inter. Conf. on Wireless Inf. Tech. and Sys. (ICWITS), 2012, pp. 1-4. https://doi.org/10.1109/ICWITS.2012.6417821
- [13] C. Gomez, J. Oller, J. Paradells, Overview and evaluation of bluetooth low energy: An emerging low-power wireless technology, Sensors. 12 (2012) 11 734-11 753. https://doi.org/10.3390/s120911734
- [14] S. Sunny, J.V. John, T.J. Apen, Quadrature Detection Methods for FM Demodulation. In Third International Conference on Advances in Computing and Communications, IEEE, 2013, p 433-436. https://doi.org/10.1109/ICACC.2013.92
- [15] Y. Schröder, D. Heidorn, L. Wolf, Investigation of Multipath Effects on Phase-based Ranging. In the International Conference on Indoor Positioning and Indoor Navigation (IPIN), IEEE, 2019, p. 1-8. https://doi.org/10.1109/IPIN.2019.8911817
- [16] A. Dutt, V. Rokhlin, Fast Fourier transforms for nonequispaced data, SIAM Journal on Scientific Computing. 14 (1993) 1368-1393. https://doi.org/10.1137/0914081
- [17] C. Knapp, G. Carter, The generalized correlation method for estimation of time delay, IEEE Transactions on Acoustics, Speech, and Signal Processing. 24 (1976) 320-327. https://doi.org/10.1109/TASSP.1976.1162830
- [18] A. Dey, A. Nandi, B. Basu, Gold-MUSIC based DOA estimation using ULA antenna of DS-CDMA sources with propagation delay diversity, AEU-International Journal of Electronics and Communications. 84 (2018) 162-170. https://doi.org/10.1016/j.aeue.2017.11.029
- [19] W. Li, Z. Dong, Z. Liu, X. Gao, X. Li, D. Zhai, 2024. Kalman-filter based hierarchical channel estimation for RIS-aided mmWave communication systems. Physical Communication, e102404. https://doi.org/10.1016/j.phycom.2024.102404
- [20] T.J. Shan, M. Wax, T. Kailath, On spatial smoothing for direction-of-arrival estimation of coherent signals, IEEE Transactions on Acoustics, Speech, and Signal Processing. 33 (1985) 806-811. https://doi.org/10.1109/TASSP.1985.1164649
- [21] A. Sheikh, J. Romme, J. Govers, A. Farsaei, C. Bachmann, Phase-Based Ranging in Narrowband Systems with Missing/Interfered Tones, IEEE Internet of Things Journal. 10 (2023) 15171-15185. https://doi.org/10.1109/JIOT.2023.326479
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-c2983df1-f4f7-42d1-a6f1-42d6e597bf58
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