Less Faulty and Simpler Statistical Prediction of Sun-Synchronous Polar LEO Satellite Visions for Ground Stations

A. Modiri, L. Mohammady, N. Molanian
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引用次数: 3

Abstract

Remote sensing satellites can send almost complete images of whole earth surface in period of few days, if they are launched in sun-synchronous polar low orbits. The volume of daily received information can affect the predetermination of station location and the design of data archiving devices; that's why this paper has focused on daily satellite visions by each station. The number of satellite daily passes over each ground station and the duration of these passes depend on the station position and satellite altitude. Although exact analytical relations have been introduced for predicting visions' number and duration in literature, but they are too complicated; some simplified equations have also been introduced but some significant errors appears in results; these errors have been revealed and compared with the results of simpler statistical equations, in this paper in comparison with real statistical data.
太阳同步极LEO卫星视像地面站统计预测误差小、简化
遥感卫星如果在太阳同步极低轨道上发射,可以在几天内发送几乎完整的地球表面图像。每天接收到的信息量会影响站点位置的预先确定和数据归档装置的设计;这就是为什么本文关注每个站点的每日卫星图像。卫星每天在每个地面站上空通过的次数及其持续时间取决于地面站的位置和卫星高度。虽然文献中已经引入了精确的分析关系来预测异象的数量和持续时间,但它们过于复杂;本文还介绍了一些简化的方程,但结果出现了较大的误差;本文揭示了这些误差,并与简单统计方程的结果进行了比较,并与实际统计数据进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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