Optimized Design Method for Satellite Constellation Configuration Based on Real-time Coverage Area Evaluation

TL;DR

This paper presents an optimized satellite constellation design method that uses an improved simulated annealing algorithm combined with real-time coverage evaluation to achieve full regional imaging coverage efficiently.

Contribution

It introduces a novel optimization approach integrating real-time coverage evaluation with an improved simulated annealing algorithm for satellite constellation configuration.

Findings

Algorithm effectively achieves minimal satellite use for full coverage.

Method demonstrates good efficiency and adaptability in simulations.

Meets industrial accuracy requirements for satellite constellation design.

Abstract

When using constellation synergy to image large areas for reconnaissance, it is required to achieve the coverage capability requirements with minimal consumption of observation resources to obtain the most optimal constellation observation scheme. With the minimum number of satellites and meeting the real-time ground coverage requirements as the optimization objectives, this paper proposes an optimized design of satellite constellation configuration for full coverage of large-scale regional imaging by using an improved simulated annealing algorithm combined with the real-time coverage evaluation method of hexagonal discretization. The algorithm can adapt to experimental conditions, has good efficiency, and can meet industrial accuracy requirements. The effectiveness and adaptability of the algorithm are tested in simulation applications.