APPLICATION ON SMOOTHING PARTICLE FILTER IN TRACKING A HIGHLY MANEUVERABLE TARGET IN A MULTIPLE-SENSORS NETWORK
H., K., W., B. (2006). APPLICATION ON SMOOTHING PARTICLE FILTER IN TRACKING A HIGHLY MANEUVERABLE TARGET IN A MULTIPLE-SENSORS NETWORK. EKB Journal Management System, 5(5th International Conference on Electrical Engineering ICEENG 2006), 1-8. doi: 10.21608/iceeng.2006.33688
Kamel H.; Badawy W.. "APPLICATION ON SMOOTHING PARTICLE FILTER IN TRACKING A HIGHLY MANEUVERABLE TARGET IN A MULTIPLE-SENSORS NETWORK". EKB Journal Management System, 5, 5th International Conference on Electrical Engineering ICEENG 2006, 2006, 1-8. doi: 10.21608/iceeng.2006.33688
H., K., W., B. (2006). 'APPLICATION ON SMOOTHING PARTICLE FILTER IN TRACKING A HIGHLY MANEUVERABLE TARGET IN A MULTIPLE-SENSORS NETWORK', EKB Journal Management System, 5(5th International Conference on Electrical Engineering ICEENG 2006), pp. 1-8. doi: 10.21608/iceeng.2006.33688
H., K., W., B. APPLICATION ON SMOOTHING PARTICLE FILTER IN TRACKING A HIGHLY MANEUVERABLE TARGET IN A MULTIPLE-SENSORS NETWORK. EKB Journal Management System, 2006; 5(5th International Conference on Electrical Engineering ICEENG 2006): 1-8. doi: 10.21608/iceeng.2006.33688

APPLICATION ON SMOOTHING PARTICLE FILTER IN TRACKING A HIGHLY MANEUVERABLE TARGET IN A MULTIPLE-SENSORS NETWORK

The International Conference on Electrical Engineering
Article 81, Volume 5, 5th International Conference on Electrical Engineering ICEENG 2006, May 2006, Pages 1-8    PDF (254.28 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2006.33688
Authors
Kamel H.1; Badawy W.2
1Ph.D. Candidate, Elec. & Comp. Eng. Department, University of Calgary, AB, Canada.
2Associate Professor, Elec. & Comp. Eng. Department, University of Calgary, AB, Canada.
Abstract
ABSTRACT
In this paper we apply the smoothing particle filter to track a highly maneuverable target in a
multiple-sensors network. We address the scenario of a single highly-maneuverable target
moving through a field of stationary sensors with known locations. The target is tracked
through the sensors filed using either all sensors or active sensors within a gate around the
target. Results have been compared to tracking the same target using conventional particle
filter. Smoothing particle filter showed improvement in the performance.
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