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Mission Planning for Energy-Efficient Passive UAV Radar Imaging System Based on Substage Division Collaborative
IEEE Transactions on Cybernetics
|August 3, 2021
Summary
This study introduces a mission planning framework for energy-efficient passive UAV radar imaging systems. The proposed Sub-DiCoS method optimizes UAV flight paths for enhanced remote sensing performance.
Area of Science:
- Aerospace Engineering
- Remote Sensing
- Radar Systems
Background:
- Previous work established an energy-efficient passive Unmanned Aerial Vehicle (UAV) radar imaging system.
- System performance is significantly influenced by the UAV's flight path in 3D terrain.
Purpose of the Study:
- To develop a mission planning framework for optimizing performance of passive UAV radar imaging systems.
- To address the challenge of path planning in complex 3D environments for remote sensing tasks.
Main Methods:
- Defined mission planning including specification, illuminator selection, and path planning.
- Modeled path planning as a constrained single-objective optimization problem.
- Proposed the Substage Division Collaborative Search (Sub-DiCoS) method, dividing path planning into two substages.
Main Results:
- Sub-DiCoS utilizes differential evolution and best guidance techniques for cooperative subpopulation search.
- Simulations demonstrated the effectiveness of the Sub-DiCoS method.
- The method enables safe, energy-efficient UAV navigation and optimized imaging/communication performance.
Conclusions:
- The proposed mission planning framework and Sub-DiCoS method effectively optimize passive UAV radar imaging systems.
- The approach facilitates energy-efficient flight and enhanced remote sensing capabilities in challenging terrains.
