Distributed scalable multi-target tracking with a wireless sensor network

IEEE International Conference on Communications

Volumn , Issue , 2009, Pages

  Oka, Anand ^a   Lampe, Lutz ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ANGLE OF ARRIVAL; BATTERY LIFETIME; DIVERSITY GAIN; MANEUVERING TARGETS; MULTI-TARGET TRACKING; MULTITARGET; NETWORK CONGESTIONS; NETWORK MEASURES; NOVEL TECHNIQUES; PARTICLE FILTER; PROBABILITY DENSITIES; RADIOFREQUENCY IDENTIFICATION TAGS; RECEIVED SIGNAL STRENGTH; RESAMPLING; TIME OF ARRIVAL;

AIR FILTERS; FILTER BANKS; NONLINEAR FILTERING; PROBABILITY DENSITY FUNCTION; RADIO BROADCASTING; RADIO FREQUENCY IDENTIFICATION (RFID); RADIO TRANSMISSION; SENSOR NETWORKS; TARGETS; WIRELESS SENSOR NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

TARGET TRACKING;

EID: 70449491053     PISSN: 05361486     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICC.2009.5198935     Document Type: Conference Paper

References (15)

1. A. Boukerche, H. A. B. F. Oliveira, E. F. Nakamura, and A. A. F. Loureiro. Localization Systems for Wireless Sensor Networks. IEEE Wireless Communications Magazine, 14(6):6-12, December 2007.
2. N. Patwari, J. N. Ash, S. Kyperountas, A. O. Hero III, R. L. Moses, and N. S. Correal. Locating the Nodes: Cooperative Localization in Wireless Sensor Networks. IEEE Signal Processing Magazine, 22(4):54-69, July 2005.
3. T. Vercauteren and X. Wang. Decentralized Sigma-Point Information Filters for Target Tracking in Collaborative Sensor Networks. IEEE Trans. Signal Processing, 53(8):2997-3009, August 2005.
4. T. M. Nguyen, V. P. Jilkov, and X. R. Li. Comparison of sampling-based algorithms for multisensor distributed target tracking. Proc. of the Sixth Int. Conf. on Information Fusion, 1:114-121, 2003.
5. D. Crisan and A. Doucet. A Survey of Convergence Results on Particle Filtering Methods for Practitioners. IEEE Trans. Signal Processing, 50(3):736-746, March 2002.
6. M.S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp. A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking. IEEE Trans. Signal Processing, 50(2):174-188, February 2002.
7. C. W. Reynolds. Flocks, Herds and Schools: A Distributed Behavioral Model. Comput. Graph. (Proc. ACM SIGRAPH'87), 21:25-34, July 1987.
8. I. Kyriakides, D. Morrell, and A. Papandreou-Suppappola. Sequential Monte Carlo Methods for Tracking Multiple Targets With Deterministic and Stochastic Constraints. IEEE Trans. Signal Processing, 56(3):937-948, March 2008.
9. F. Gustafsson, F. Gunnarsson, N. Bergman, U. Forssell, J. Jansson, R. Karlsson, and P. J. Nordlund. Particle Filters for Positioning, Navigation, and Tracking. IEEE Trans. Signal Processing, 50(2):425-437, February 2002.
10. M. Orton and W. Fitzgerald. A Bayesian Approach to Tracking Multiple Targets Using Sensor Arrays and Particle Filters. IEEE Trans. Signal Processing, 50(2):216-223, February 2002.
11. L. Frenkel and M. Feder. Recursive Expectation-Maximization (EM) Algorithms for Time-Varying Parameters With Applications to Multiple Target Tracking. IEEE Trans. Signal Processing, 47(2):306-320, February 1999.
12. R. Rahman, M. Alanyali, and V. Saligrama. Distributed Tracking in Multihop Sensor Networks With Communication Delays. IEEE Trans. Signal Processing, 55(9):4656-4668, September 2007.
13. X. R. Li and V. P. Jilkov. A Survey of Manuvering Target Tracking: Dynamic Models. IEEE Trans. Aerospace and Electronic Systems, 39(4):1333-1364, October 2003.
14. L. E. Baum, T. Petrie, G. Soules, and N. Weiss. A Maximization Technique Occuring in the Statistical Analysis of Probabilistic Functions of Markov Chains. Ann. Math. Statist., 41:164-171, August 1970.
15. M. Khabbazian and V. K. Bhargava. Localized Broadcasting with Guaranteed Delivery and Bounded Transmission Redundancy. IEEE Trans. on Computers, 57(8):1072-1086, Aug. 2008.