Research on Deployment Location Optimization for Mission-Oriented Satellite Ground Service Equipment

In modern meteorological, communications, and military applications, deployment locations of satellite ground equipment critically determine space satellites’ ability to cover designated target areas. To optimize deployment, orbital trajectories and subsatellite point paths are first propagated using initial epoch orbital elements and kinematic models. Subsequently, a computational model is established to evaluate satellite-to-ground coverage within mission regions. Building upon the standard Particle Swarm Optimization (PSO) framework, an Improved PSO (IPSO) algorithm is developed. Comparative simulations demonstrate significantly enhanced convergence accuracy (11.3% increase) and computational stability (20% variance reduction) over conventional approaches. The methodology achieves satellite ground coverage rates exceeding 98%, enabling optimized equipment configurations while providing robust technical support for mission-critical operations.