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Improving precision of mobile positioning in highway environments

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Abstract

A new method for mobile station positioning applying circular lateration data is proposed. The method is intended for application in close to singular cases, typical in highway environments, to reduce the positioning error. The method is non-iterative and avoids reduction of the original system of equations to linear, being based on processing intersections of circles, instead. In this manner, inconsistencies of the positioning result with the input data are reduced. Implementation of the new algorithm requires modifications in software only. Performance of the method is shown to be statistically better in comparison to the method that reduces the equation system to linear even in general case.

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References

  1. Küpper A. (2005) Location-based services: Fundamentals and operation. Chichester, UK: John Wiley and Sons, Ltd

  2. Bensky A (2008) Wireless positioning technologies and applications. Norwood, MA: Artech House, Inc

  3. Rappaport TS, Reed JH, Woerner BD (1996) Position location using wireless communications on highways of the future. IEEE Commun Mag 34(10):33–41

    Article  Google Scholar 

  4. Sayed AH, Tarighat A, Khajehnouri N (2005) Network-based wireless location: Challenges faced in developing techniques for accurate wireless location information. IEEE Signal Proc Mag 22(4):24–40

    Article  Google Scholar 

  5. Yu K, Sharp I, Guo Y J (2009) Ground-based wireless positioning. Chichester, UK: John Wiley and Sons, Ltd

  6. Khodjaev J, Hur S, Park Y (2012) Low complexity LTS-based NLOS error mitigation for localization. Ann Telecommun 67(9–10):471–476

    Article  Google Scholar 

  7. Selmi I, Samama N (2014) Indoor positioning with GPS and GLONASS-like signals use of new codes and repealite-based infrastructure in a typical museum building. Ann Telecommun 69(11–12):641–655

    Article  Google Scholar 

  8. Caffery JJ Jr. (2000) A new approach to the geometry of TOA location. Vehicular Technology Conference, IEEE VTS-Fall VTC 2000, 52nd 4:1943–1949

    Article  Google Scholar 

  9. Savvides A, Han C-C, Strivastava MB (2001) Dynamic fine-grained localization in ad-hoc networks of sensors, Proceedings of the 7th Annual International Conference on Mobile Computing and Networking

  10. Sugano M, Kawazoe T, Ohta Y, Murata M (2006) Indoor localization system using RSSI measurement of wireless sensor network based on ZigBee standard, Proceedings of IASTED International Conference on Wireless Sensor Networks (WSN 2006), Banff, Canada

  11. Langley RB (1999) Dilution of precision. GPS World 10(5):52–59

    Google Scholar 

  12. Spirito MA (2001) On the accuracy of cellular mobile station location estimation. IEEE Trans Veh Technol 50(3):674– 685

    Article  Google Scholar 

  13. Bronk K, Stefanski J (2007) Bad geometry influence on positioning accuracy in wireless networks, EUROCON, The International Conference on “Computer as a Tool, pp. 1131–1135

  14. Proietti M (2002) Carrier choices in location. GPS World 23:23–28

    Google Scholar 

  15. Coordination Group on Access to Location Information for Emergency Services (CGALIES), Final report. Report on implementation issues related to access to location information by emergency services (E112) in the European Union, Tech. Rep., 2002. [Online]. Available:, http://www.emtel.etsi.org/Workshop/Non-presented_papers/Cgalies%20final%20V1.0%20Jan%20M.doc

  16. Simić M, Pejović P (2011) Positioning in Cellular Networks, Cellular Networks - Positioning, Performance Analysis, Reliability, Dr. Agassi Melikov ed., ISBN: 978-953-307-246-3, InTech, doi:10.5772/14698 Available from:, http://www.intechopen.com/books/cellular-networks-positioning-performance-analysis-reliability/positioning-in-cellular-networks

  17. Strang G (2009) Introduction to Linear Algebra, 4th Edition. Wellesley MA: Wellesley-Cambridge Press

  18. Mitilineos SA (2011) Blind position location via geometric loci construction. Wirel Pers Commun 60(4):665–677

    Article  Google Scholar 

  19. 3rd Generation Partnership Project; Technical Specification Group GSM/EDGE Radio Access Network; Digital cellular telecommunications system (Phase 2+); Radio subsystem synchronization, 3GPP TS 05.10 V8.12.0 (2003-08), Technical Specification, Tech. Rep., 2001, (Release 1999). [Online]. Available: http://www.3gpp.org/ftp/Specs/archive/05_series/05.10/0510-8c0.zip

  20. Simić M, Pejović P (2009) A probabilistic approach to determine mobile station location with application in cellular networks. Ann Telecommun 64(9–10):639–649

    Google Scholar 

  21. Mitilineos SA, Segou OK, Thomopoulos SCA (2013) Fast simulation of average small-scale fading for indoor localization applications. Wirel Pers Commun 71(1):745–767

    Article  Google Scholar 

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Correspondence to Predrag Pejović.

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Pejović, P., Simić, M. Improving precision of mobile positioning in highway environments. Ann. Telecommun. 70, 491–500 (2015). https://doi.org/10.1007/s12243-015-0470-y

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  • DOI: https://doi.org/10.1007/s12243-015-0470-y

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