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TDOA versus ATDOA for wide area multilateration system

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This paper outlines a new method of a location service (LCS) in the asynchronous wireless networks (AWNs) where the nodes (base stations) operate asynchronously in relation to one another. This method, called asynchronous time difference of arrival (ATDOA), enables the calculation of the position of the mobile object (MO) through the measurements taken by a set of non-synchronized fixed nodes and is based on the measurement of the virtual distance difference between the reference nodes and the several MO positions (more than two), as well as on the solution of a nonlinear system of equations. The novelty of the proposed solution is using the measurements taken by at least five ground sensors without time synchronization between them to estimate the position of the tracked MO transmitting four or more sounding signals in random time. The new method significantly simplifies the localization process in real-life AWNs. It can be used on its own or to complement the traditional synchronous method. The paper focuses on the description of the proposed ATDOA method, two algorithms TS-LS (Taylor series least-squares) and GA (genetic algorithm) for solving the nonlinear system of equations, example application of the new method for a three-dimensional space, and presentation of the simulation models and simulation results. An important part of the paper is the comparison of the efficiency between the asynchronous method and the synchronous one for wide area multilateration (WAM) system. In addition, the Cramér-Rao lower bound (CRLB) is derived for this problem as a benchmark. The preliminary measurement results obtained by applying the proposed ATDOA method against the background of the synchronous one are presented at the end of the paper. As it could be expected, the synchronous solution gives better results. The synchronous method allows to locate the aircraft within 15 m in about 80% of the time, while the ATDOA method in 74% of the time for the base stations clocked from the reference clocks with the stability equal to 10−9, and in 58% of the time for the base stations clocked from the reference clocks with the stability equal to 10−8. The new method therefore should not be treated as the improvement of the existing synchronous positioning systems but as a backup solution which allows to keep the LCS systems running even during ground stations synchronization failure.

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Kategoria:
Publikacja w czasopiśmie
Typ:
artykuł w czasopiśmie wyróżnionym w JCR
Opublikowano w:
EURASIP Journal on Wireless Communications and Networking nr 2018, wydanie 1, strony 1 - 13,
ISSN: 1687-1472
Język:
angielski
Rok wydania:
2018
Opis bibliograficzny:
Stefański J., Sadowski J.: TDOA versus ATDOA for wide area multilateration system// EURASIP Journal on Wireless Communications and Networking. -Vol. 2018, iss. 1 (2018), s.1-13
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1186/s13638-018-1191-5
Bibliografia: test
  1. K Yu, I Sharp, YJ Guo, Ground-based wireless positioning (Wiley, UK, 2009) otwiera się w nowej karcie
  2. A Küpper, Location-based services. Fundamentals and operation (Wiley, England, 2005)
  3. J Stefanski, Asynchronous time difference of arrival (ATDOA) method. Pervasive Mob Comput. (2014). https://doi.org/10.1016/j.pmcj.2014.10.008 otwiera się w nowej karcie
  4. T Li, YF Huang, A location system using asynchronous distributed sensors. Twenty-third Annual Joint Conf IEEE Comp Commun Soc (INFOCOM) (2004). https://doi.org/10.1109/INFCOM.2004.1354533 otwiera się w nowej karcie
  5. RM Vaghefi, RM Buehrer, Asynchronous time-of-arrival-based source localization. IEEE Int Conf Acoust, Speech Signal Process (ICASSP) (2013). https://doi.org/10.1109/ICASSP.2013.6638427 otwiera się w nowej karcie
  6. K Yang, G Wang, ZQ Luo, Efficient convex relaxation methods for robust target localization by a sensor network using time differences of arrivals. IEEE Trans. Signal Process. (2009). https://doi.org/10.1109/TSP.2009.2016891 otwiera się w nowej karcie
  7. E Xu, Z Ding, S Dasgupta, Source localization in wireless sensor networks from signal time-of-arrival measurements. IEEE Trans. Signal Process. (2011). https://doi.org/10.1109/TSP.2011.2116012 otwiera się w nowej karcie
  8. D Zhou, X Wang, Y Tian, Airborne asynchronous TDOA based on critical area. IEEE Int Conf Comput Inf Tech (2014). https://doi.org/10.1109/CIT.2014.32 otwiera się w nowej karcie
  9. Y Wang, G Leus, Reference-free time-based localization for an asynchronous target. EURASIP J Adv Signal Process. (2012). https://doi.org/10.1186/1687-6180-2012-19 otwiera się w nowej karcie
  10. T Sathyan, D Humphrey, M Hedley, WASP: a system and algorithms for accurate radio localization using low-cost hardware. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. (2011). https://doi.org/10.1109/TSMCC.2010.2051027 otwiera się w nowej karcie
  11. B Xu, G Sun, R Yu, Z Yang, High-accuracy TDOA-based localization without time synchronization. IEEE Trans Parallel Distrib Syst. (2013). https://doi.org/ 10.1109/TPDS.2012.248 otwiera się w nowej karcie
  12. M Youssef, A Youssef, C Rieger, U Shankar, A Agrawala, PinPoint: an asynchronous time-based location determination system. Proc 4th Int Conf Mob Syst, Appl Serv (2006). https://doi.org/10.1145/1134680.1134698 otwiera się w nowej karcie
  13. Y Wang, G Leus, X Ma, Time-based localization for asynchronous wireless sensor networks. IEEE Int Conf Acoust, Speech Signal Process (ICASSP) (2011). https://doi.org/10.1109/ICASSP.2011.5946723 otwiera się w nowej karcie
  14. H Xiong, Z Chen, W An, B Yang, Robust TDOA localization algorithm for asynchronous wireless sensor networks. Int J Distrib Sen Net. (2015). https:// doi.org/10.1155/2015/598747 otwiera się w nowej karcie
  15. H Nawaz, A Bozkurt, I Tekin, A novel power efficient asynchronous time difference of arrival indoor localization system using CC1101 radio transceivers. Microw. Opt. Technol. Lett. (2017). https://doi.org/10.1002/mop.30342 otwiera się w nowej karcie
  16. J Stefanski, Low cost method for location service in the WCDMA system. Nonlinear Anal: Real World Appl. (2013). https://doi.org/10.1016/j.nonrwa. 2012.07.022 otwiera się w nowej karcie
  17. WH Foy, Position-location solutions by Taylor-series estimation. IEEE Trans. Aerosp. Electron. Syst. (1976). https://doi.org/10.1109/TAES.1976.308294 otwiera się w nowej karcie
  18. DJ Torrieri, Statistical theory of passive location systems. IEEE Trans. Aerosp. Electron. Syst. (1984). https://doi.org/10.1109/TAES.1984.310439 otwiera się w nowej karcie
  19. J Stefanski, New method of locating mobile terminal in asynchronous cellular Networks, Electronics -Designs, Technologies and Applications, No. 9 (2007), pp. 56-58 (in Polish) otwiera się w nowej karcie
  20. CL Karr, B Weck, LM Freeman, Solutions to systems of nonlinear equations via a genetic algorithm. Eng. Appl. Artif. Intell. (1998). https://doi.org/10. 1016/S0952-1976(97)00067-5 otwiera się w nowej karcie
  21. R Mannings, Ubiquitous positioning (Artech House, USA, 2008) otwiera się w nowej karcie
  22. M Pelant, V Stejskal, in Tyrrhenian International IEEE Workshop on Digital Communications-Enhanced Surveillance of Aircraft and Vehicles. Multilateration system time synchronization via over-determination of TDOA measurements (2011), pp. 179-183
  23. J Stefanski, Asynchronous wide area multilateration system. Aerosp. Sci. Technol. (2014). https://doi.org/10.1016/j.ast.2014.03.016 otwiera się w nowej karcie
  24. YT Chan, KC Ho, A simple and efficient estimator for hyperbolic location. IEEE Trans. Signal Process. (1994). https://doi.org/10.1109/78.301830 otwiera się w nowej karcie
  25. MH Hayes, Statistical digital signal processing and modeling (Wiley, USA, 1996)
  26. Thompson S. D., Andrews J. W., Harris G. S., Sinclair K. A., Required surveillance performance accuracy to support 3-mile and 5-mile separation in the National Airspace System, Project Report ATC-323, Lincoln Laboratory, 2006. otwiera się w nowej karcie
  27. Guidance Material On Comparison Of Surveillance Technologies (GMST), International Civil Aviation Organization Asia and Pacific, Edition 1.0, 2007. otwiera się w nowej karcie
  28. J Stefanski, Simplified algorithm for location service for the UMTS. Proc IEEE 62nd Veh Techn Conf (2005). https://doi.org/10.1109/VETECF.2005.1559048 otwiera się w nowej karcie
  29. PB Sujit, S Saripalli, J Borges Sousa, Unmanned aerial vehicle path following: a survey and analysis of algorithms for fixed-wing unmanned aerial vehicles. IEEE Control. Syst. Mag. (2014). https://doi.org/10.1109/MCS.2013.2287568 otwiera się w nowej karcie
  30. SM Kay, Fundamentals of statistical signal processing-estimation theory (Prentice Hall, USA, 1993)
  31. Operation and service manual, FS725 rubidium frequency standard, Version 1.1 (Stanford Research Systems, USA, 2005) otwiera się w nowej karcie
Źródła finansowania:
Weryfikacja:
Politechnika Gdańska

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