Realistic simulations of surveillance sensors in an algorithm-level sensor fusion test-bed
Éloi Bossé, Nicolas Duclos-Hindie, Jean Roy, Denis Dion · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
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.