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Inicio  /  Aerospace  /  Vol: 11 Par: 4 (2024)  /  Artículo
ARTÍCULO
TITULO

Application of Optimal Scheduling for Synthetic Aperture Radar Satellite Constellation: Multi-Imaging Mission in High-Density Regional Area

Kimoon Lee    
Dongjin Kim    
Daewon Chung and Seonho Lee    

Resumen

This study explores optimizing Synthetic Aperture Radar (SAR) satellite constellation scheduling for multi-imaging missions in densely targeted areas using an in-house-developed Modified Dynamic Programming (MDP) algorithm. By employing Mixed-Integer Linear Programming (MILP) to define the mission planning problem, this research aims to maximize observation of high-value targets within restricted planning horizons. Numerical simulations, covering a wide range of target numbers and satellite configurations, reveal the MDP algorithm?s superior mission allocation efficiency, enhanced success rates, and reduced revisit times compared to the greedy algorithm. The findings underscore the MDP algorithm?s improved operational efficiency and planning robustness for complex imaging tasks, demonstrating significant advancements over traditional approaches.

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