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http://dx.doi.org/10.12673/jant.2022.26.5.304

A Study on the Techniques of Path Planning and Measure of Effectiveness for the SEAD Mission of an UAV  

Woo, Ji Won (Fixed Wing Drone System R&D Lab, LIG Nex1)
Park, Sang Yun (Fixed Wing Drone System R&D Lab, LIG Nex1)
Nam, Gyeong Rae (Fixed Wing Drone System R&D Lab, LIG Nex1)
Go, Jeong Hwan (Fixed Wing Drone System R&D Lab, LIG Nex1)
Kim, Jae Kyung (Fixed Wing Drone System R&D Lab, LIG Nex1)
Abstract
Although the SEAD(suppression to enemy air defenses) mission is a strategically important task in modern warfare, the high risk of direct exposure to enemy air defense assets forces to use of unmanned aerial vehicles. this paper proposes a path planning algorithm for SEAD mission for an unmanned aerial vehicle and a method for calculating the mission effectiveness on the planned path. Based on the RRT-based path planning algorithm, a low-altitude ingress/egress flight path that can consider the enemy's short-range air defense threat was generated. The Dubins path-based Intercept path planning technique was used to generate a path that is the shortest path while avoiding the enemy's short-range anti-aircraft threat as much as possible. The ingress/intercept/egress paths were connected in order. In addition, mission effectiveness consisting of fuel consumption, the survival probability, the time required to perform the mission, and the target destruction probability was calculated based on the generated path. The proposed techniques were verified through a scenario.
Keywords
Measure of effectiveness; Mission planning; Path planning; Rapidly-exploring random tree; Unmanned aerial vehicle;
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