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A NEW APPROACH TO DESIGN A REPEAT GROUND TRACK ORBIT FOR A LOCAL RECONNAISSANCE MISSION

机译:一种设计局部侦察任务的重复地轨轨道的新方法

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Orbits with repeating ground tracks play a major role in remote sensing missions, reconnaissance missions and lots of special missions. For civil remote sensing systems, an altitude of the order of 500 to 900 km is usually preferred in order to meet the requirement of instrument resolution. Indeed, the mission requirements of those systems are mainly focused on achieving global or near-global coverage to maximize the commercial profit. Of course, special case such as 1 day repeat ground track can be applied for local observation only. On the contrary, the mission requirements for military spacecraft may be driven by more complex or specific operational scenarios. In this study, a new approach using a hybrid genetic algorithm that consists of coarse targeting and fine targeting is introduced to resolve the proposed problem quickly and demonstrated its feasibility as a preliminary result. The proposed approach relies upon coarse search process using a rough solution by analytical scheme and fine search process using a result from the coarse search process. Both of targeting processes are based on a genetic algorithm. The proposed problem in this study may not be achieved by analytical approaches due to the complexity, non-symmetric, and nonlinear nature of the problem.
机译:与重复地面轨迹轨道遥感任务,侦察任务和大量的特殊任务中发挥了重要作用。民用遥感系统,500至900千米量级的高度,以满足仪表分辨率的要求通常是优选的。事实上,这些系统的任务需求主要集中在实现全球或接近全球覆盖最大化的商业利润。当然,特殊情况下,如1天重复地面轨迹可以应用于仅为本地观察。相反,军事航天器的任务需求可以通过更加复杂的或特定的操作方案来驱动。在这项研究中,采用了混合遗传算法,由粗定位和引入精细瞄准一个新的方法来快速解决所提出的问题,并展示了其作为一个初步结果的可行性。所提出的方法依赖于使用由分析方案和细搜索过程使用来自所述粗略搜索过程的结果的粗溶液粗略搜索过程。两个定位过程是基于遗传算法。在这项研究中所提出的问题可能不是由分析方法由于复杂,非对称的,问题的非线性特性来实现。

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