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An autonomous orbit determination method for MEOLEO satellite

机译:MEO&LEO卫星自主定轨方法

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A reliable and secure navigation system and assured autonomous capability of satellite are in high demand in case of emergencies in space. This paper introduces a novel autonomous orbit determination method for Middle-Earth-Orbit and Low-Earth-Orbit (MEO&LEO) satellite by observing space objects whose orbits are known. Generally, the geodetic satellites, such as LAGEOS and ETALONS, can be selected as the space objects here. The precision CCD camera on tracking gimbal can make a series of photos of the objects and surrounding stars when MEO&LEO satellite encounters the space objects. Then the information processor processes images and attains sightings and angular observations of space objects. Several clusters of such angular observations are incorporated into a batch least squares filter to obtain an orbit determination solution. This paper describes basic principle and builds integrated mathematical model. The accuracy of this method is analyzed by means of computer simulation. Then a simulant experiment system is built, and the experimental results demonstrate the feasibility and effectiveness of this method. The experimental results show that this method can attain the accuracy of 150 meters with angular observations of 1 arcsecond system error.
机译:在太空紧急情况下,迫切需要可靠,安全的导航系统以及有保证的卫星自主能力。通过观测已知轨道的空间物体,介绍了一种新的确定中地轨道和低地轨道(MEO&LEO)卫星自主轨道的方法。通常,这里可以选择大地测量卫星(例如LAGEOS和ETALONS)作为空间物体。当MEO&LEO卫星遇到太空物体时,跟踪云台的精密CCD摄像机可以拍摄物体和周围恒星的一系列照片。然后,信息处理器处理图像并获得对空间物体的观察和角度观察。将几组此类角度观测值合并到批最小二乘法滤镜中,以获得轨道确定解决方案。本文描述了基本原理并建立了集成的数学模型。通过计算机仿真分析了该方法的准确性。然后建立了模拟实验系统,实验结果证明了该方法的可行性和有效性。实验结果表明,该方法在1弧秒系统误差的角度观测下可以达到150米的精度。

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