MILP Formulation for Aircraft Path Planning in Persistent Surveillance

• Published in: IEEE transactions on aerospace and electronic systems Vol. 56; no. 5; pp. 3796 - 3811
• Main Authors: Zuo, Yan, Tharmarasa, Ratnasingham, Jassemi-Zargani, Rahim, Kashyap, Nathan, Thiyagalingam, Jeyarajan, Kirubarajan, Thiagalingam T.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Aerospace electronics; Aircraft; Base stations; Divide-and-conquer method; Downtime; Integer programming; Linear programming; Maximization; Missions; Mixed integer; mixed integer linear programming (MILP); multiobjective optimization; Optimization; Path planning; persistent surveillance; Planning; Polynomials; Surveillance; Surveillance systems; Unmanned aerial vehicles; Weather

Persistent surveillance systems using manned or unmanned aerial vehicles play a crucial role in modern intelligence, surveillance, and reconnaissance missions. One of the crucial aspects that determine the quality of these systems is path planning. Path planning often attempts to optimize one or two...