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Orbit Determination of an LEO Orbiter with Less Than Four Visible GPS Satellites

机译:轨道测定少于四个可见GPS卫星的Leo轨道器

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In this paper, Orbit Determination (OD) algorithm for a Low Earth Orbiting (LEO) satellite is introduced and its performance is analyzed using simulation data. The GPS measurements are applied as observations to estimate the LEO satellite position. This study is focusing on the situation with lack of ranging-measurements. In general, at least 4 GPS satellites are required to estimate positioning solution with GPS data. However, there are some environments which have less than 4 visible GPS ranging data. For example, with an inertial pointed antenna, the number of GPS tracking data decreases, when it goes in the earth's shadow. Moreover, with some satellites the number of GPS data maintains less than 4. To overcome this limitation, satellite dynamics is aided to improve the positioning accuracy. Dynamical Extended Kalman Filter (EKF) is examined to estimate the position, velocity and clock parameters. Dual frequency GPS simulation data is examined. The OD algorithm is for the environment that a GPS receiver in the LEO Satellite tracks less than four visible GPS data. To evaluate this algorithm, we use the simulation data of a cube satellite, a type of miniaturized satellite for space research, which is launched into a sun synchronous orbit at attitude of 600km. As a result, the accuracies of a few decimeters are achieved by dynamical EKF for the simulation data.
机译:在本文中,引入了低地球轨道(LEO)卫星的轨道确定(OD)算法,并使用模拟数据分析其性能。 GPS测量值作为观察结果来估计Leo卫星位置。本研究专注于缺乏测距的情况。通常,至少需要4个GPS卫星来估计具有GPS数据的定位解决方案。但是,有一些环境具有少于4个可见的GPS测距数据。例如,对于惯性尖尖天线,当它进入地球的阴影时,GPS跟踪数据的数量减小。此外,对于一些卫星,GPS数据的数量保持不到4.以克服这种限制,辅助卫星动力学以提高定位精度。检查动态扩展卡尔曼滤波器(EKF)以估计位置,速度和时钟参数。检查双频GPS仿真数据。 OD算法用于LEO卫星轨道中的GPS接收器小于四个可见GPS​​数据的环境。为了评估该算法,我们使用多维数据集卫星的仿真数据,一种用于空间研究的小型化卫星,其在600km的态度上发射成太阳同步轨道。结果,通过用于模拟数据的动态EKF来实现几次抽取的精度。

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