Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Statistical terminal assisted mobile positioning technique

Statistical terminal assisted mobile positioning technique

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Mobile terminal positioning has attracted the interest of mobile communications industry as it enables the provision of commercial applications and emergency services. An innovative method for improving the accuracy of existing terminal positioning techniques is proposed. The proposed method relies on the terminal ability to measure and store a set of location-related parameters while in idle mode. At the initiation phase of a location-based service, the whole set of stored data is statistically processed so as to increase the accuracy of terminal position estimation. The efficiency of the suggested method is demonstrated in a GSM network for Enhanced Global Cell Identity technique by using network measurements. In the sequel, the proposed method is further analysed on the basis of a simulation model, which highlights key parameters such as the optimum number of samples that needs to be stored by the terminal and the proper sampling period. The proposed method requires only additional software at the terminal and the network which implies a reasonable deployment cost.

References

    1. 1)
      • Mangold, S., Kyriazakos, S.: `Applying pattern recognition techniques based on hidden Markov models for vehicular position location in cellular networks', 50thIEEE Vehicular Technology Conference, September 1999, VTC, Amsterdam, The Netherlands.
    2. 2)
    3. 3)
      • Open Mobile Alliance: OMA-TS-ULP-V1_0-20060127-C, User Plane Location Protocol, Candidate Version 1.0 – 27, January 2006.
    4. 4)
      • R. Kalman . A new approach to linear filtering and prediction problems. Trans. ASME J. Basic Eng. , 35 - 45
    5. 5)
      • FP6-IST4 27659, Project MOTIVE, Technical Annex, .
    6. 6)
      • (2003) Permanent Reference Document SE.23, Location Based Services.
    7. 7)
      • Open Mobile Alliance: ‘OMA-LOC-2006-0070-CR-SUPL2.0-RD-Historical-Cell-Information, Change Request’, 2006.
    8. 8)
      • 3GPP TS 25.305 v.7.2.0 (2006-03), 3rd Generation Partnership Project, Technical Specification Group – Radio Access Network, Stage 2 Functional Specification of User Equipment Positioning in UTRAN (Release 7).
    9. 9)
      • Catrein, D., Hellebrandt, M., Mathar, R., Serrano, M.P.: `Location tracking of mobiles: a smart filtering method and its ise in practice', Proc. IEEE VTC Spring 2004, May 2004, Milan.
    10. 10)
      • Borkowski, J., Lempiainen, J.: `Pilot correlation positioning method for urban UMTS networks', Proc. European Wireless Conf., April 2005, Nicosia, Cyprus.
    11. 11)
      • W.C.Y. Lee . (1990) Mobile cellular telecommunications systems.
    12. 12)
      • Laitetinen, H., Lahteenmaki, J., Nordstrom, T.: `Database correlation method for GSM location', IEEE VTC Spring Conf., May 2001, Rhodes, Greece.
    13. 13)
      • B.L. Le , K. Ahmed , H. Tsuji . Mobile location estimator with NLOS mitigation using kalman filtering. IEEE Wirel. Commun. Netw. , 1969 - 1973
    14. 14)
      • J.G. Markoulidakis , G. Lyberopoulos , D. Tsirkas , E. Sykas . Mobility modelling in third-generation mobile telecommunications systems. IEEE Pers. Commun. Mag. , 41 - 56
    15. 15)
      • M. Hata , T. Nagatsu . Mobile location using signal strength measurements in a cellular system. IEEE Trans. Veh. Technol. , 245 - 252
    16. 16)
      • J.S. Lee , L.E. Miller . (1998) CDMA systems engineering handbook.
    17. 17)
      • Bourdeau, N., Gibeaux, M., Riba, J., Sansone, F.: `Hybridised GPS and GSM positioning technology for high performance location based services', IST Mobile and Wireless Telecommunications Summit 2002, June 2002, Thessaloniki, Greece, p. 810–815.
    18. 18)
      • H.L. Bertoni . (1999) Radio propagation for modern wireless systems.
    19. 19)
      • IST MOTIVE Project, FP6-IST 27659, Deliverable 2.1:‘Overview of MOTIVE concept applications’, May 2006.
    20. 20)
      • ETSI TS 100 911 V8.17.0 (2003-06), Digital cellular telecommunications system (Phase 2+); Radio Subsystem Link Control.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com_20050326
Loading

Related content

content/journals/10.1049/iet-com_20050326
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address