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Multi-objective optimization design of extended Walker constellation for global coverage services

机译:全球覆盖服务的扩展沃克星座的多目标优化设计

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Many efforts have been made to optimize Walker constellations for global or regional coverage and up to scores of satellites symmetrically arranged in order to provide efficient coverage. This paper presents an extended Walker constellation design method without the assumption of rigidly symmetric orbits for global coverage constellation. Firstly, optimization model of constellation design is set up. Then, the design is transformed into a multi-objective problem. A constellation optimization method based on multi-objective evolutionary algorithm is used to search the parameter space and provide a set of Pareto optimal solutions for both intermittent and continuous global coverage. Simulation results illustrate that tradeoffs can be easily made between system performance and decision maker's preference.
机译:为了提供有效的覆盖范围,已经做出了许多努力来针对全球或区域覆盖范围以及多达数十个对称排列的卫星来优化沃克星座。本文提出了一种扩展的Walker星座设计方法,该方法无需假设用于全局覆盖星座的刚性对称轨道。首先,建立星座设计的优化模型。然后,将设计转化为多目标问题。基于多目标进化算法的星座优化方法用于搜索参数空间,并为间歇性和连续性全局覆盖提供了一组帕累托最优解。仿真结果表明,可以轻松地在系统性能和决策者的偏好之间进行权衡。

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