Realistic simulations of surveillance sensors in an algorithm-level sensor fusion test-bed

Eloi Bosse; Nicolas Duclos-Hindie; Jean Roy; Denis Dion Jr.

doi:10.1117/12.217679

1 September 1995 Realistic simulations of surveillance sensors in an algorithm-level sensor fusion test-bed

Eloi Bosse, Nicolas Duclos-Hindie, Jean Roy, Denis Dion Jr.

Proceedings Volume 2561, Signal and Data Processing of Small Targets 1995; (1995) https://doi.org/10.1117/12.217679
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Eloi Bosse, Nicolas Duclos-Hindie, Jean Roy, and Denis Dion Jr. "Realistic simulations of surveillance sensors in an algorithm-level sensor fusion test-bed", Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); https://doi.org/10.1117/12.217679

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