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A Triple Difference Approach to Low Earth Orbiter Precision Orbit Determination

机译:低地轨道精密轨道确定的三重差法

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摘要

A geometric approach to Low Earth Orbiter (LEO) precision orbit determination (POD) based exclusively on triple-differenced GPS carrier phase observables is presented. The algorithm is fast and efficient because there is no ambiguity-resolution requirement, which is a complicated and time-consuming task for long-range kinematic GPS. However, the triple-difference kinematic LEO POD requires careful screening for cycle slips, as the orbit quality depends on the accuracy and the geometry of the observations. It is shown that the signal-to-noise-ratio (SNR) combined with residual screening offers a good approach to data cleaning. Data from a CHAMP (Challenging Minisatellite Payload, altitude ~450 km) mission are used to present the accuracy, speed and efficiency of the processing algorithms. The methods of data screening and the effects of geometry on the orbit quality are discussed and the final achievable accuracy including the limitations and benefits of this method are quantified. It is demonstrated that the triple-difference method offers short processing times and is currently capable of achieving a 3D RMS fit to the dynamic orbit of 15-30 cm and 1 mm/s to the velocity.
机译:提出了一种仅基于三差分GPS载波相位可观测值的低地球轨道器(LEO)精确轨道确定(POD)的几何方法。该算法快速高效,因为没有歧义分辨率的要求,这对于远程运动GPS是一项复杂且耗时的任务。但是,由于轨道质量取决于观测的准确性和几何形状,因此三差运动学LEO POD需要仔细筛选周期滑移。结果表明,将信噪比(SNR)与残差筛选相结合可提供一种很好的数据清理方法。来自CHAMP(具有挑战性的微型卫星有效载荷,高度约450 km)任务的数据用于表示处理算法的准确性,速度和效率。讨论了数据筛选的方法以及几何形状对轨道质量的影响,并量化了最终可获得的精度,包括该方法的局限性和好处。事实证明,三差法提供了较短的处理时间,并且目前能够实现3D RMS,以适合15-30 cm的动态轨道和1 mm / s的速度。

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