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, Page 1-8 PDF (254.28 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/iceeng.2006.33688 | ||||
View on SCiNiTO | ||||
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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