Cascade-connected ANN structures for indoor WLAN positioning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5788 LNCS, Issue , 2009, Pages 392-399

  Borenović, Miloš ^a,b   Nešković, Aleksandar ^a   Budimir, Djuradj ^b  

^a School of Electrical Engineering   (Serbia)

^b UNIVERSITY OF WESTMINSTER   (United Kingdom)

Author keywords

Artificial neural network; Cascade connected; Location; Positioning; Radio; Space partitioning; WLAN

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; CASCADE-CONNECTED; INDOOR ENVIRONMENT; MEDIAN ERRORS; MULTILAYER FEEDFORWARD; POSITION INFORMATION; POSITIONING TECHNIQUES; SPACE PARTITIONING; WLAN NETWORKS;

ENGINEERING EDUCATION; PARTITIONS (BUILDING); WIRELESS LOCAL AREA NETWORKS (WLAN);

NEURAL NETWORKS;

EID: 76249101903     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04394-9_48     Document Type: Conference Paper

References (18)

1. Gu, Y., Lo, A., Niemegeers, I.: A survey of indoor positioning systems for wireless personal networks. IEEE Communications Surveys & Tutorials 11(1), 13-32 (First Quarter 2009)
2. Diggelen, F.: Indoor GPS theory & implementation. In: 2002 IEEE Position Location and Navigation Symposium, April 2002, pp. 240-247 (2002)
3. Ahonen, S., Eskelinen, P.: Mobile terminal location for UMTS. IEEE Aerospace and Electronic Systems Magazine 18(2), 23-27 (2003)
4. Llombart, M., Ciurana, M., Barcelo-Arroyo, F.: On the scalability of a novel WLAN positioning system based on time of arrival measurements. In: 5th Workshop on Positioning, Navigation and Communication, 2008. WPNC 2008, pp. 15-21 (2008)
5. King, T., Kopf, S., Haenselmann, T., Lubberger, C., Effelsberg, W.: COMPASS: A Probabilistic Indoor Positioning System Based on 802.11 and digital compasses. University of Mannheim, D-68159 Mannheim, Germany, TR-2006-012 (2006)
6. Sayrafian-Pour, K., Kaspar, D.: Indoor positioning using spatial power spectrum. In: IEEE PIMRC 2005, September 2005, vol. 4, pp. 2722-2726 (2005)
7. Borenovic, M., Neskovic, A.: Comparative analysis of RSSI, SNR and noise level parameters applicability for WLAN positioning purposes. In: IEEE EUROCON (2009)
8. Bahl, P., Padmanabhan, V.N.: RADAR: An in-building RF-based user location and tracking system. In: INFOCOM 2000, vol. 2, pp. 775-784 (2000)
9. Li, B., Salter, J., Dempster, A., Rizos, C.: Indoor positioning techniques based on wireless LAN. In: AusWireless 2006, Sydney (March 2006)
10. Youssef, M., Agrawala, A.: The Horus WLAN location determination system. In: Int. Conf. on Mobile Systems, Applications And Services, pp. 205-218 (2005)
11. Eckert, K.: Overview of wireless LAN based indoor positioning systems. In: Mobile Bussines Seminar, University of Mannheim, Germany (2005)
12. Battiti, R., Nhat, T.L., Villani, A.: Location-aware computing: A neural network model for determining location in wireless LANs. Technical Report # DIT-02-0083 (February 2002)
13. Borenovic, M., Neskovic, A.: Utilizing artificial neural networks for WLAN positioning. In: IEEE PIMRC, 2008, Cannes, France (September 2008)
14. Borenovic, M., Neskovic, A.: Positioning in WLAN environment by use of artificial neural networks and space partitioning. Annals of Telecommunications journal, Special Issue on Positioning and Telecommunication Systems (in print, 2009)
15. Hasoun, H.M.: Fundamentals of artificial neural networks. Massachusetts Institute of Technology (1995)
16. Hanson, S.J., Burr, D.J.: Minkowski-r Backpropagation: Learning in connectionist models with non-Euclidean error signals. In: Anderson, D.Z. (ed.) Neural Information Processing Systems, Denver, 1987, pp. 348-357. American Institute of Physics, New York (1988)
17. Fahlman, S., Lebiere, C.: The cascade-correlation learning architecture. In: Advances in Neural Information Processing Systems, vol. 2, pp. 524-532 (1990)
18. Shang, Y., Wah, W.B.: Global optimization for neural network training, pp. 45-56. IEEE Computer Society, Los Alamitos (1996)