Abstract
In disaster relief, especially in the rescue of serious disaster like great earthquake or tsunami, detecting the exact location of survivors via portable devices can greatly improve the efficiency of search and rescue work. A novel infrastructure-free cell phone positioning system based on software-defined radio, virtual base transceiver station software and its running scheme is proposed in this paper. The identification information of cell phones, receive signal strength and signal transceiver power data can be collected by this system. By using customized antennas with new positioning method, the proposed system can indicate the location of survivals trapped under debris without any operation on cell phones by survivors. With the new hybrid algorithm, search radius of the system can reach more than 1.2 km. And it is also able to implement accurate positioning by this system at the same time. Experimental results demonstrated that the system has significantly improved performance over the traditional methods.
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References
Capkun S, Hamdi M, Hubaux J (2001) GPS-free positioning in mobile ad-hoc networks. In: Proceedings of the 34th Hawaii international conference on system sciences, pp 1–10
Chu X, Zhong QY (2015) Post-earthquake allocation approach of medical rescue teams. Nat Hazards 79:1809–1824. doi:10.1007/s11069-015-1928-y
Dai LL, Wang ZC, Jun Q, Yang ZX (2010) Positioning with OFDM signals for the next-generation GNSS. IEEE Trans Consum Electron 56:374–379. doi:10.1109/TCE.2010.5505942
Figueiras J, Schwefel H, Kovacs I (2005) Accuracy and timing aspects of location information based on signal-strength measurements in Bluetooth. In: IEEE 16th international symposium on personal, indoor and mobile radio communication, pp 2685–2690
Gu GF, Peng GL (2010) The survey of GSM wireless communication system. In: International conference on computer and information application, pp 121–124
Hatorangan E, Juhana T (2014) Mobile phone location logging into OpenBTS-based cellular network in disaster situation. In: 8th International conference on telecommunication system services and applications, pp 1–3
Hernandez N, Ocana M, Humanes S, Revenga P, Pancho DP, Magdalena L (2014) A WiFi-based software for indoor localization. In: IEEE international conference on fuzzy systems, pp 2345–2351
Jiang JR, Lin CM, Lin FY, Huang ST (2012) ALRD: AoA localization with RSSI differences of directional antennas for wireless sensor networks. In: International conference on information society, pp 304–309
Ling C, Tomas O, Marc L, Leonhard RM (2010) Measurement of mobile radio propagation channel in ruins. In: IEEE international conference on wireless communication, networking and information security, pp 252–256
Ma J (2013) Study of single base station positioning algorithm research and localization of AOA based on UWB signals. Dissertation, Ocean University of China
Ma X, Huang QY, Shu XM, Yang SH (2012) Design and implementation of instantly deployable localization system in remote areas. In: IEEE international conference on green computing and communications, pp 265–268
Rajabalinejad M, Demirbilek Z, Mahdi T (2010) Determination of failure probabilities of flood defence systems with improved dynamic bounds method. Nat Hazards 55:95–109. doi:10.1007/s11069-010-9561-2
Sahu PK, Wu EHK, Sahoo J (2013) DuRT: dual RSSI trend based localization for wireless sensor networks. IEEE Sensor J 13:3115–3123. doi:10.1109/JSEN.2013.2257731
Salazar AES (2004) Positioning Bluetooth ® and Wi-Fi™ systems. IEEE Trans Consum Electron 50:151–157. doi:10.1109/TCE.2004.1277855
Seco F, Plagemann C, Jimenez AR, Burgard W (2010) Improving RFID-based indoor positioning accuracy using Gaussian processes. In: International conference on indoor positioning and indoor navigation, pp 1–8
Tang SY, Shu XM, Shen SF, Ma X (2014) Study of personnel positioning in large area based on pseudo base station. Procedia Eng 71:481–485. doi:10.1016/j.proeng.2014.04.069
Vasudeva K, Ciftler BS, Altamar A, Guvenc I (2014) An experimental study on RSS-based wireless localization with software defined radio. In: IEEE 15th annual wireless and microwave technology conference, pp 1–6
Xu J, Ma MD, Law CL (2008) AOA cooperative position localization. In: IEEE global telecommunications conference, pp 1–5
Zetik R, Thoma RS (2014) Middle-range surveillance by UWB radar: an experimental feasibility. In: IEEE international conference on ultra-wide band, pp 129–134
Acknowledgements
This work was supported by the National Science and Technology Pillar Program during the 12th Five-year Plan Period (No. 2015BAK12B03), 863 National High Technology Research and Development Program of China (No. 2012AA041508) and Fire Department of Ministry of Public Security Research Programs (No. 2014XFCX10).
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Tang, S., Shu, X., Shen, S. et al. Study of portable infrastructure-free cell phone detector for disaster relief. Nat Hazards 86, 453–464 (2017). https://doi.org/10.1007/s11069-016-2700-7
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DOI: https://doi.org/10.1007/s11069-016-2700-7