Situational Awareness for Surveillance and Interdiction Operations (SASIO) tactical installation protection

Abstract

Security of a Forward Operating Base (FOB) is of high interest and operational importance to the U.S. military and allied forces. The Situational Awareness for Surveillance and Interdiction Operations (SASIO) model simulates the operational tasking of a single Unmanned Aerial Vehicle (UAV) and a ground-based interceptor that are designed to search, identify, and intercept potential hostile targets prior to reaching the FOB. This thesis explains the SASIO model and its implementation in JAVA. This theoretical model leverages Design of Experiments (DOE), which varies multiple characteristics of the system to explore insights for the tactical employment of UAV and interceptor to combat potential hostile actions against a predefined area of interest. Designed screening simulation experiments identifies influential factors to provide guidance for tactical employment of Blue Force assets, as well as provide alternative means to influence Red force behavior in a beneficial manner. This thesis analyzed the effects of the influential factors with respect to the percentage of threats interdicted, time to acquire threats, and mean distance away from the FOB that the threats were interdicted. Through analytical techniques, a quantifiable measure of the employment strategy for the UAV and ground-based interceptor was achieved.