Profiling system design tradeoffs using the sparse detector sensor model


This paper details the continued development of a modularized system level model of a sparse detector sensor system. The assumptions used to simplify the equations describing the effects of individual system components and characteristics such as target to background properties, collection optics, detectors, and classifiers will be detailed and modeled. These individual effects will then be combined to provide an overall system performance model and used to compare two sensor node designs. The model will facilitate design trade offs for Unattended Ground Sensors. The size and power restrictions of these sensors often preclude these sensors from being effective in high-resolution applications such as target identification. However, these systems are well suited for applications such as broad scale classifications or differentiations between targets such as humans, animals or small vehicles. Therefore, the demand for these sensors is increasing for both the military and homeland security. © 2010 SPIE.

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering