Wireless sensor network approach for robust localization of mobile nodes with minimal complexity

Elektrotechnik und Informationstechnik

Volumn 125, Issue 10, 2008, Pages 341-346

  Fuentes Michel, J C ^a   Vossiek, M ^a  

^a CLAUSTHAL UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Parameter estimation; Sequential Monte Carlo Method; Wireless localization

Indexed keywords

EMBEDDED SYSTEMS; INTEGRATED CIRCUITS; INTERNET PROTOCOLS; METAL ANALYSIS; MONTE CARLO METHODS; PARAMETER ESTIMATION; PILES; SENSOR NETWORKS; SENSOR NODES; SENSORS; WIRELESS TELECOMMUNICATION SYSTEMS;

MOBILE NODE (MN); SEQUENTIAL MONTE CARLO METHOD; VEHICLE TRACKING; WIRELESS LOCALIZATION; WIRELESS SENSORS;

WIRELESS SENSOR NETWORKS;

EID: 58449094357     PISSN: 0932383X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00502-008-0573-5     Document Type: Article

References (21)

1. Ali-Löytty, S., Sirola, N., et al. (2005): Consistency of Three Kalman Filter Extensions in Hybrid Navigation
2. D. N. Aloi M. Alsliety 2007 A methodology for the evaluation of a GPS receiver performance in telematics application IEEE Transactions on Instrumentation and Measurement 56 1 11 25
3. D. F. Bizup D. E. Brown 2003 The Over-Extended Kalman Filter - Don't Use It! Proc of the 6th Int. Conf. of Information Fusion 1 40 46
4. Boukerche, A., Oliveira, H. A., et al. (2008). Vehicular ad hoc networks: a new challenge for localization-based systems. Computer Communications. doi: 10.1016/j.comcom.2007.12.004, Elsevier
5. Caffrey, J. J., Stüber, G. L. (1998): Overview of radiolocation in CDMA cellular systems. IEEE Communications Magazine: 38-45
6. Fuentes, J. C., Christmann, M., et al. (2006) Multisensor based indoor vehicle localization system for production and logistic. Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems. Heidelberg: 553-558
7. th Workshop on Positioning, Navigation and Communication 2008 (WPNC'08), Hannover: 219-227
8. Hähnel, D., Burgard, W., et al. (2003) Mapping and Localization with RFID Technology
9. Hall, D. James, L. (2001): Handbook of multisensor data fusion. Boca Raton, Florida: CRC Press
10. Hightower, J., Borriello, G. (2001): Location systems for ubiquitous computing. IEEE Computer Magazine: 57-66
11. R. E. Kalman 1960 A new approach to linear filtering and prediction problems Transactions of the ASME-Journal of Basic Engineering 82 35 45
12. Kay, S. M. (1993) Fundamentals of Statistical Signal Processing: Estimation Theory. P. Hall
13. Kelly, A. (2003): Precision Dilution in Triangulation Based Mobile Robot Position Estimation. Intelligent Autonomous Systems. Amsterdam, Robotics Institute, Carnegie Mellon University
14. Kurth, D. (2004): Range-Only Robot Localization and SLAM with Radio. Robotics Institute, Pittsburg, Carnegie Mellon: 60
15. Max, S., Vossiek, M., et al. (2008): Verfahren zur Integration von lokaler Funkortung und Inertialsensorik zur Objektverfolgung innerhalb Gebäuden. 14. GMA/ITG-Fachtagung Sensoren und Messsysteme. Ludwigsburg
16. Ng, G. W. (2003): Intelligent Systems: Fusion, Tracking and Control. England, Research Studies Press Ltd
17. Pahlavan, K., Li, X., et al. (2002): Indoor geolocation science and technology. IEEE Communications Magazine: 112-118
18. Röhr, S., Vossiek, M., et al. (2007a): Method for high precision clock synchronization in wireless systems with application to radio navigation. IEEE Radio Wireless Symp. Long Beach, USA: 551-554
19. Röhr, S., Vossiek, M., et al. (2007b): Method for high precision radar distance measurement and synchronization of wireless units. IEEE MTT-S Int. Microwave Symp. Honolulu, Hawaii: 1315-1318
20. Stoleru, R., He, T., et al. (2004) Walking GPS: a practical solution for localization in manually deployed wireless sensor networks. Proc. of the 29th Annual IEEE Int. Conf. on Local Computer Networks (LCN'04): 480-489
21. M. Vossiek L. Wiebking 2003 Wireless local positioning IEEE Microwave Magazine. Radio & Wireless Conference 4 77 86