Precise orbits of the Lunar Reconnaissance Orbiter from radiometric tracking data
Precise orbits of the Lunar Reconnaissance Orbiter from radiometric tracking data
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DOI：
10.1007/s00190-018-1124-4
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发表时间：
2018-02
影响因子：
4.4
通讯作者：
A. Löcher;J. Kusche
中科院分区：
文献类型：
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作者：
A. Löcher;J. Kusche
自2009年以来，月球勘测轨道飞行器（LRO）获取月球表面的图像和高度剖面。将这些数据汇总到地图和地形模型中需要精确了解航天器的轨迹。在这方面的贡献，我们提出了5年的LRO轨道辐射数据处理的软件量身定制的这个使命。所呈现的轨道是NASA对LRO科学轨道的首次独立验证，可供公众使用。我们的处理的一个关键特征是精心处理的模型和观测误差的经验参数和自适应数据加权方差分量估计。通过分析重叠弧来评估所产生的轨道的质量。对于我们的解决方案的基础上弧的2.5天，这样的分析产生的平均误差为2.81米的总位置和0.11米的径向方向。结果表明，这一结果大大受益于自适应数据加权，减少了2.54和0.13米，分别。不幸的是，所达到的精度变化很大，取决于对随月球周期变化的轨道椭圆的看法。为了减轻这种依赖性，弧长逐步延长至10.5天，在最佳情况下进一步改善了0.80 m。
Since 2009, the Lunar Reconnaissance Orbiter (LRO) acquires images and altimetric profiles of the lunar surface. Assembling these data to maps and terrain models requires the precise knowledge of the spacecraft trajectory. In this contribution, we present 5 years of LRO orbits from radiometric data processed with a software tailored to this mission. The presented orbits are the first independent validation of the LRO science orbits from NASA and are available for public use. A key feature of our processing is the elaborate treatment of model and observation errors by empirical parameters and an adaptive data weighting by variance component estimation. The quality of the resulting orbits is assessed by analyzing overlapping arcs. For our solution based on arcs of 2.5 days, such analysis yields a mean error of 2.81 m in total position and 0.11 m in radial direction. It is shown that this result greatly benefits from the adaptive data weighting, reducing the error by 2.54 and 0.13 m, respectively. Unfortunately, the precision achieved varies strongly, dependent on the view onto the orbital ellipse which changes with the lunar cycle. To mitigate this dependency, the arc length was extended in steps up to 10.5 days, leading in the best case to a further improvement of 0.80 m.