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NLOS Mitigation for Vehicle Tracking

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Part of the Navigation: Science and Technology book series (NASTECH)

Abstract

Precisely tracking moving objects in complex propagation scenarios such as deep urban canyons and indoors is a challenging problem.

Keywords

NLOS Mitigation Deep Urban Canyons NLOS Propagation NLOS Identification Head Measurement Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Abu-Shaban Z, Zhou X, Abhayapala TD (2016) A novel TOA-based mobile localization technique under mixed LOS/NLOS conditions for cellular networks. IEEE Trans Veh Technol 65(11):8841–8853CrossRefGoogle Scholar
  2. Bahl P, Padmanabhan V (2000) RADAR: an in-building RF-based user location and tracking system. In: Proceedings of IEEE conference on computer communications (INFOCOM), pp 775–784, Tel Aviv, Israel, March 2000Google Scholar
  3. Caffery JJ, Stuber GL (1998) Subscriber location in CDMA cellular networks. IEEE Trans Veh Technol 47(2):406–416CrossRefGoogle Scholar
  4. Chen B-S, Yang C-Y, Liao F-K, Liao J-F (2009) Mobile location estimator in a rough wireless environment using extended Kalman-based IMM and data fusion. IEEE Trans Veh Technol 58(3):1157–1169CrossRefGoogle Scholar
  5. Cong L, Zhuang W (2005) Nonline-of-sight error mitigation in mobile location. IEEE Trans Wirel Commun 4(2):560–573CrossRefGoogle Scholar
  6. Hellebrandt M, Mathar R (1999) Location tracking of mobiles in cellular radio networks. IEEE Trans Veh Technol 48(5):1558–1562CrossRefGoogle Scholar
  7. Ho TJ (2013) Urban localization estimation for mobile cellular networks: a fuzzy-tuned hybrid systems approach. IEEE Trans Wirel Commun 12(5):2389–2399CrossRefGoogle Scholar
  8. Huerta JM, Vidal J (2005) Mobile tracking using UKF, time measurements and LOS-NLOS expert knowledge. In: Proceedings of IEEE international conference on acoustics, speech, and signal processing, Philadelphia, pp 901–904, PA, USA, March 2005Google Scholar
  9. Huerta JM, Vidal J, Giremus A, Tourneret J-Y (2009) Joint particle filter and UKF position tracking in severe non-line-of-sight situations. IEEE J. Sel Top Sig Process 3(5):874–888CrossRefGoogle Scholar
  10. Jardak M, Samama N (2009) Indoor positioning based on GPS-repeaters: performance enhancement using an open code loop architecture. IEEE Trans Aerosp Electron Syst 45(1):147–159CrossRefGoogle Scholar
  11. Juurakko S, Backman W (2004) Database correlation method with error correlation for emergency location. Wirel Pers Commun 30(2–4):183–194CrossRefGoogle Scholar
  12. Kim W, Lee JG, Jee G-I (2006) The interior-point method for an optimal treatment of bias in trilateration location. IEEE Trans Veh Technol 55(4):1291–1301CrossRefGoogle Scholar
  13. Lakhzouri A, Lohan ES, Hamila R (2003) M (2003) Extended Kalman filter channel estimation for line-of-sight detection in WCDMA mobile positioning. EURASIP J Appl Sig Process 13:1268–1278zbMATHGoogle Scholar
  14. Lay K-T, Chao W-K (2005) Mobile positioning based on TOA/TSOA/TDOA measurements with NLOS error reduction. In: Proceedings of international symposium on intelligent signal processing and communication systems, pp 545–548, Hong Kong, Dec 2005Google Scholar
  15. Le BL, Ahmed K, Tsuji H (2003) Mobile location estimator with NLOS mitigation using Kalman filtering. In: Proceedings of wireless communications and networking, New Orleans, pp 1969–1973, Louisiana, USA, March 2003Google Scholar
  16. Liao J-F, Chen B-S (2006) Robust mobile location estimator with NLOS mitigation using interacting multiple model algorithm. IEEE Trans Wirel Commun 5(11):3002–3006MathSciNetCrossRefGoogle Scholar
  17. Locata (2017, visited) FAQs: What is the uprate rate of the Locata position and/or individual LocataLite ranges? http://www.locata.com/technology/faqs/#faq_1553
  18. Miao H, Yu K, Juntti M (2007) Positioning for NLOS propagation: algorithm derivations and Cramer-Rao bounds. IEEE Trans Veh Technol 56(5):2568–2580CrossRefGoogle Scholar
  19. Mourad F, Snoussi H, Richard C (2011) Interval-based localization using RSSI comparison in MANETs. IEEE Trans Aerosp Electron Syst 47(4):2897–2910CrossRefGoogle Scholar
  20. Nerguizian C, Despins C, Affes S (2006) Geolocation in mines with an impulse response fingerprinting and neural networks. IEEE Trans Wirel Commun 5(3):603–611CrossRefGoogle Scholar
  21. Nezafat M, Kaveh M, Tsuji H, Fukagawa T (2005) Statistical performance of subspace matching mobile localization using experimental data. In: Proceedings of IEEE workshop on signal processing advances in wireless communications, pp 645–649, New York, USA, June 2005Google Scholar
  22. Schmidt R (1996) Least squares range difference location. IEEE Trans Aerosp Electron Syst 32(1):234–242CrossRefGoogle Scholar
  23. Silventoinen MI, Rantalainen T (1996) Mobile station emergency locating in GSM. In: Proceedings of IEEE international conference on personal wireless communications, New Delhi, India, pp 232–238, Feb 1996Google Scholar
  24. Torieri DJ (1984) Statistical theory of passive location systems. IEEE Trans Aerosp Electron Syst 20(2):183–198CrossRefGoogle Scholar
  25. Wang G, Amin MG, Zhang Y (2006) New approach for target locations in the presence of wall ambiguities. IEEE Trans Aerosp Electron Syst 42(1):301–315Google Scholar
  26. Wang W, Wang Z, O’Dea B (2003) A TOA-based location algorithm reducing the errors due to nonline-of-sight (NLOS) propagation. IEEE Trans Veh Technol 52(1):112–116CrossRefGoogle Scholar
  27. Wylie MP, Holtzman J (1996) The non-line of sight problem in mobile location estimation. In: Proceedings of IEEE international conference on universal personal communications, pp 827–831, Cambridge, Massachusetts, Sept–Oct 1996Google Scholar
  28. Woo S-S, You H-R, Koh J-S (2000) The NLOS mitigation technique for position location using IS-95 CDMA networks. In: Proceedings of IEEE vehicular technology conference, pp 2556–2560, Boston, MA, USA, Sept 2000Google Scholar
  29. Yu K, Dutkiewicz E (2012) Geometry and motion based positioning algorithms for mobile tracking in NLOS environments. IEEE Trans Mob Comput 11(2):254–263CrossRefGoogle Scholar
  30. Yu K, Guo YJ (2008) Improved positioning algorithms for nonline-of-sight environments. IEEE Trans Veh Technol 57(4):2342–2353CrossRefGoogle Scholar
  31. Yu K, Sharp I, Guo YJ (2009) Ground-based wireless positioning. Wiley-IEEE Press, ChippenhamCrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.CSIRO ICT CentreMarsfieldAustralia
  2. 2.China University of Mining & TechnologyXuzhouChina

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