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Guidepost-based autonomous orbit determination method for GEO satellite

机译:基于指南的Geo卫星的自主轨道确定方法

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Guidepost-based navigation system is a novel autonomous orbit determination method for the GEO satellite. The system is achieved by using the camera imaging function to obtain the guidepost images and the GNSS signal receiver to obtain the pseudoranges between the GEO and the navigation satellites. Due to the high altitude of GEO satellite and the time-varying sunlight condition in the space environment, it may be difficult to obtain object image points and the distance measurements of GNSS because of the weak visibility of the guideposts. To deal with the problem, a novel integrated orbit determination system is presented. The Earth landmarks, the in-orbit spacecraft and GNSS navigation satellites whose line-of-sights and the distance can be easily obtained are used at the same time as information for the GEO satellite navigation based on the observability conditions analysis. The observability of the GEO satellite navigation system is analyzed through the physical observability, the mathematical observability and the engineering observability through the observing geometry, the rank of observability matrix and the Cramer-Rao lower bound (CRLB) respectively. Besides, the maximum correntropy unscented Kalman filter (MCUKF) algorithm is applied to improve the estimation stability of the system in the presence of non-Gaussian noises. The simulation indicates the feasibility of the proposed scheme.
机译:基于指南的导航系统是GEO卫星的新型自主轨道确定方法。通过使用相机成像功能来实现该系统以获得导向阀和GNSS信号接收器以获得GEO与导航卫星之间的伪音符。由于Geo卫星的高度高度和空间环境中的时变阳光条件,由于导向板的可见度较弱,因此可能难以获得对象图像点和GNS的距离测量。要处理问题,提出了一种新的集成轨道确定系统。地球地标,轨道上的航天器和GNSS导航卫星,其瞄准线和距离可以很容易地获得,同时使用基于可观察性条件分析的Geo卫星导航的信息。通过观察几何形状,观察性矩阵和克拉梅 - 饶下染色(CRLB)的级别,通过物理可观察性,数学可观察性和工程可观察性分析了Geo卫星导航系统的可观察性。此外,应用了最大正轮机无创的卡尔曼滤波器(MCUKF)算法以改善非高斯噪声的存在下系统的估计稳定性。模拟表明所提出的方案的可行性。

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