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Design of Optimal Satellite Constellation for Indonesian Regional Navigation System based on GEO and GSO Satellites

机译:基于Geo和GSO卫星的印度尼西亚区域导航系统最优卫星星座的设计

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Autonomous regional navigation system provides independent and accurate positioning services continuously to a selected region. This paper presents the space segment's design algorithm for the Indonesian regional navigation system, which will provide real-time self-reliance positioning, velocity, and timing services to the civilians and more accurate positional service to military personnel. The purpose of this research is to find the optimal satellite constellation of combined Geostationary (GEO) and Geosynchronous (GSO) satellites with 100% coverage throughout Indonesia territory and better positioning service to the user using a minimum number of satellites. The Genetic Algorithm (GA) has been used for finding optimal satellite constellation, which gives the least mean Geometric Dilution of Precision (GDOP) over the selected places in Indonesia. Then the optimal constellation is simulated in System Tool Kit (STK) to verify the performance of the Genetic Algorithm results. The design algorithm's output depicts that the optimized satellite constellation for the Indonesian regional navigation system consists of 3 GEO and 4 GSO satellites. The simulation results in STK indicate that the proposed satellite constellation provides accurate position and navigation services to entire Indonesia with the mean GDOP of less than 4 value.
机译:自主区域导航系统将连续提供独立和准确的定位服务到选定的区域。本文介绍了印度尼西亚区域导航系统的空间段设计算法,为平民提供了实时自力更生的定位,速度和定时服务,以及对军事人员的更准确的位置服务。本研究的目的是在印度尼西亚领土上的100%覆盖和使用最小数量的卫星,找到最佳卫星星座的最佳卫星星座和地球同步(GSO)卫星的最佳卫星星座。遗传算法(GA)已被用于寻找最佳的卫星星座,其中在印尼选定的地方实现更精确的最小均几何稀释(GDOP)。然后在系统工具套件(STK)中模拟最佳星座,以验证遗传算法结果的性能。设计算法的输出描绘了印度尼西亚区域导航系统的优化卫星星座由3种Geo和4个GSO卫星组成。 STK的仿真结果表明,所提出的卫星星座为整个印度尼西亚提供准确的位置和导航服务,其平均GDOP小于4值。

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