The Organic Sensor Array program is investigating the application of small imaging sensors to support Small Unit Operation teams and Unattended Ground Sensor applications. Experiments are underway for emplaced and sense-on-the-fly modes of operation. These prototypes are of interest to the UGS community for adding imaging surveillance in a micro- package. Imaging provides for confirmation of events and identification of threats detected by other UGS sensors. Performance to data has shown progress in attachment, shock mitigation, flight stability and video processing.
Adding remote deployment capability to unattended surveillance systems provides the capability to unobtrusively monitor activities in hostile or neutral areas where in-situ placement is not practical. Targeted surveillance activities include tracking force movements, monitoring keep-out areas, and detecting the presence of assets hidden underground or in buildings. Key technologies to achieve this capability include localization of deployed nodes, field optimization and control techniques, multi- sensor fusion, and low cost miniaturized sensors.
The organic sensor array program is investigating the application of small imaging sensors to support small unit operation teams and law enforcement personnel. Experiments are underway for emplaced, sense-on-the-fly and tossed modes of operation. To date, hand emplaced and launch-to-emplace sensors prototypes have been demonstrated with parachute sensors being readied for a sense-on-the-fly demonstration. These sensors are envisioned for crisis situations where 'sticking your head out' is a dangerous proposition.
This paper will review ongoing research in technologies that support Unattended Ground Sensors (UGS). Future requirements for UGS systems are offered based on observations of military evolution. We make the argument that UGS systems of the future will serve a broader functionality, including mobile soldier and small unit operation missions. Research results are then presented in the areas of acoustic classification, noise radar, low-cost IR imaging and low power techniques. The research we have undertaken shows promise for low-power, low cost sensors and signal processing in support of the UGS vision.
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