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Proceedings Paper

Realistic simulations of surveillance sensors in an algorithm-level sensor fusion test-bed
Author(s): Eloi Bosse; Nicolas Duclos-Hindie; Jean Roy; Denis Dion
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Paper Abstract

This paper presents simulations of IR and radar surveillance sensors to support an ongoing Multi Sensor Data Fusion (MSDF) performance evaluation study for potential application to the Canadian Patrol Frigate midlife upgrade. The surveillance sensor models are used in an algorithm-level testbed that allows the investigation of advanced MSDF concepts. The sensor models take into account sensor's design parameters and external environmental effects such as clutter, clouds, propagation and jamming. The latest findings regarding the dominant perturbing effects affecting the sensor detection performance are included. The sensor models can be used to generate contacts and false alarms in scenarios for multi-sensor data fusion studies while the scenarios is running.

Paper Details

Date Published: 1 September 1995
PDF: 12 pages
Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); doi: 10.1117/12.217679
Show Author Affiliations
Eloi Bosse, Defence Research Establishment Valcartier (Canada)
Nicolas Duclos-Hindie, Groupe Informission Inc. (Canada)
Jean Roy, Defence Research Establishment Valcartier (Canada)
Denis Dion, Defence Research Establishment Valcartier (Canada)


Published in SPIE Proceedings Vol. 2561:
Signal and Data Processing of Small Targets 1995
Oliver E. Drummond, Editor(s)

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