Distributed target tracking using signal strength measurements by a wireless sensor network

IEEE Journal on Selected Areas in Communications

Volumn 28, Issue 7, 2010, Pages 1006-1015

  Oka, Anand ^a   Lampe, Lutz ^b  

^a Research in Motion   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Distributed Tracking; Particle Filter; Radio Environment Estimation; RSSI; Wireless Sensor Networks

Indexed keywords

DISTRIBUTED TRACKING; PARTICLE FILTER; RADIO ENVIRONMENT ESTIMATION; RSSI; WIRELESS SENSOR;

ALGORITHMS; ESTIMATION; MEASUREMENT ERRORS; NONLINEAR FILTERING; PROBABILITY DENSITY FUNCTION; RADIO NAVIGATION; SENSOR NETWORKS; WIRELESS SENSOR NETWORKS;

TARGET TRACKING;

EID: 77956222547     PISSN: 07338716     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSAC.2010.100905     Document Type: Article

References (21)

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, vol. 14, no. 6, pp. 6-12, Dec. 2007.
2. N. Patwari, J. N. Ash, S. Kyperountas, A. O. H. III, R. L. Moses, and N. S. Correal, Locating the Nodes: Cooperative Localization in Wireless Sensor Networks, IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 54-69, July 2005.
3. D. Culler, D. Estrin, and M. Srivastava, Guest Editors' Introduction: Overview of Sensor Network, Computer, vol. 37, no. 8, pp. 41-49, Aug. 2004.
4. 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, vol. 56, no. 3, pp. 937-948, March 2008.
5. 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, vol. 50, no. 2, pp. 425-437, Feb. 2002.
6. M. Orton and W. Fitzgerald, A Bayesian Approach to Tracking Multiple Targets Using Sensor Arrays and Particle Filters, IEEE Trans. Signal Processing, vol. 50, no. 2, pp. 216-223, Feb. 2002.
7. C. Kreucher, K. Kastella, and A. O. H. III, Tracking Multiple Targets Using a Particle Filter Representation of the Joint Multitarget Probability Density, SPIE Int. Symp. on Optical Science and Techn., vol. 5204, pp. 258-259, 2003.
8. K. Yuna and D. Kim, Robust location tracking using a dual layer particle filter, Pervasive and Mobile Computing, vol. 3, no. 3, pp. 209-232, Jun. 2007.
9. I. Recio, J. M. Moya, A. Araujo, J. C. Vallejo, and P. Malagon, Analysis and Design of an Object Tracking Service for Intelligent Environments, Lecture Notes in Computer Science (Springer Berlin/Heidelberg), vol. 5518, pp. 914-921, Jun. 2009.
10. P. Djuric, T. Lu, and M. Bugallo, Multiple Particle Filtering, IEEE Int. Conf. on Acoustics, Speech and Signal Processing, vol. 3, pp. III-1181-III-1184, April 2007.
11. X. R. Li and V. P. Jilkov, A Survey of Manuvering Target Tracking: Dynamic Models, IEEE Trans. Aerospace and Electronic Systems, vol. 39, no. 4, pp. 1333-1364, Oct. 2003.
12. T. Vercauteren and X. Wang, Decentralized Sigma-Point Information Filters for Target Tracking in Collaborative Sensor Networks, IEEE Trans. Signal Processing, vol. 53, no. 8, pp. 2997-3009, Aug. 2005.
13. C. W. Reynolds, Flocks, Herds and Schools: A Distributed Behavioral Model, Comput. Graph. (Proc. ACM SIGRAPH'87), vol. 21, pp. 25-34, Jul. 1987.
14. T. Rappaport, Wireless Communications. Prentice-Hall, 2002.
15. M. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking, IEEE Trans. Signal Processing, vol. 50, no. 2, pp. 174-188, Feb. 2002.
16. C. Morelli, M. Nicoli, V. Rampa, and U. Spagnolini, Hidden Markov Models for Radio Localization in Mixed LOS/NLOS Conditions, IEEE Trans. Signal Processing, vol. 55, no. 4, pp. 1525-1542, April 2007.
17. R. M. Neal and G. E. Hinton, A View of the EM Algorithm That Justifies Incremental, Sparse, and Other Variants, pp. 355-368, 1998.
18. A. Oka and L. Lampe, Incremental Distributed Identification of Markov Random Field Models in Wireless Sensor Networks, IEEE Trans. Signal Processing, vol. 57, no. 6, pp. 2396-2405, June 2009.
19. T. M. Cover and J. A. Thomas, Elements of Information Theory. John Wiley & Sons, Inc., 1991.
20. H. J. Kushner and J. Yin, Stochastic Approximation Algorithms and Applications. Springer-Verlag, 1997.
21. M. Khabbazian and V. K. Bhargava, Localized Broadcasting with Guaranteed Delivery and Bounded Transmission Redundancy, IEEE Trans. on Computers, vol. 57, no. 8, pp. 1072-1086, Aug. 2008.