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A NEW ALGORITHM (STAR) FOR CYCLE AMBIGUITY RESOLUTION WITHIN GPS BASED ATTITUDE DETERMINATION

机译:基于GPS的姿态确定中的周期模糊度解决新算法(星)。

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摘要

For future board autonomous navigation tasks, GPS offers the possibility to perform these tasks on board the user satellite with a single sensor, including the advantages of low weight and power consumption, small volume, complete navigation information on board and reduced ground operation costs. With the development of the algorithms for orbit and attitude determination and the receiver hardware, a great potential with significant influence on future missions and applications has arisen. Attitude determination using GPS carrier phase measurements relies on the interferometric principle. Hereby an ambiguity appears, corresponding to an integer number of carrier phase cycles of the received GPS signal. The resolution of this integer ambiguity is an important initialization process for attitude determination and serves as a starting point for further algorithms to calculate the attitude solution. This paper presents a new method for solving the cycle ambiguities, called the STAR-algorithm (Spherical Trigonometry Ambiguity Resolution). The STAR-algorithm relies purely on spherical trigonometry. Results of simulations and ground experiments have shown that it works very successful and robust.
机译:对于将来的板载自主导航任务,GPS提供了使用单个传感器在用户卫星上执行这些任务的可能性,包括重量轻,功耗低,体积小,板上完整的导航信息以及降低的地面运营成本。随着用于确定轨道和姿态的算法以及接收机硬件的发展,已经出现了对未来的任务和应用产生重大影响的巨大潜力。使用GPS载波相位测量来确定姿态取决于干涉原理。由此出现模糊度,其对应于接收到的GPS信号的整数个载波相位周期。此整数模糊度的分辨率是确定姿态的重要初始化过程,并且是进一步算法计算姿态解的起点。本文提出了一种解决循环歧义的新方法,称为STAR算法(球形三角学歧义度解析度)。 STAR算法仅依赖于球三角函数。仿真和地面实验的结果表明,该方法非常成功且稳定。

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