Multisensor 3D tracking for counter small unmanned air vehicles (CSUAV)

Juan R. Vasquez; Kyle M. Tarplee; Ellen E. Case; Anne M. Zelnio; Brian D. Rigling

doi:10.1117/12.785531

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24 March 2008 Multisensor 3D tracking for counter small unmanned air vehicles (CSUAV)

Juan R. Vasquez, Kyle M. Tarplee, Ellen E. Case, Anne M. Zelnio, Brian D. Rigling

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Proceedings Volume 6971, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXII; 697107 (2008) https://doi.org/10.1117/12.785531
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

A variety of unmanned air vehicles (UAVs) have been developed for both military and civilian use. The typical large UAV is typically state owned, whereas small UAVs (SUAVs) may be in the form of remote controlled aircraft that are widely available. The potential threat of these SUAVs to both the military and civilian populace has led to research efforts to counter these assets via track, ID, and attack. Difficulties arise from the small size and low radar cross section when attempting to detect and track these targets with a single sensor such as radar or video cameras. In addition, clutter objects make accurate ID difficult without very high resolution data, leading to the use of an acoustic array to support this function. This paper presents a multi-sensor architecture that exploits sensor modes including EO/IR cameras, an acoustic array, and future inclusion of a radar. A sensor resource management concept is presented along with preliminary results from three of the sensors.

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Juan R. Vasquez, Kyle M. Tarplee, Ellen E. Case, Anne M. Zelnio, and Brian D. Rigling "Multisensor 3D tracking for counter small unmanned air vehicles (CSUAV)", Proc. SPIE 6971, Acquisition, Tracking, Pointing, and Laser Systems Technologies XXII, 697107 (24 March 2008); https://doi.org/10.1117/12.785531

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