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Composite Clock Algorithms for System Time in Global Navigation Satellite Systems

机译:全球导航卫星系统系统时间的复合时钟算法

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Clock ensembling is a well-established concept for creating robust and stable time frames, e.g. it is used to define the Universal Time Coordinated as well as the GPS system time. In order to reference Global Navigation Satellite Systems (GNSSs) to a terrestrial time scale, the provision of a robust, reliable and stable system time is a mandatory key aspect. Here, we propose a mixed clock ensemble for system time generation in future GNSSs that exploit inter-satellite optical links to synchronize all elements of the constellation. We consider a Kalman filter-based algorithm which combines several different clock types. The algorithm computes predictions based on advanced clock models and updates the predicted state vector by processing differential measurements between the clocks in the ensemble. The state vector, which includes all parameters describing the clock behavior (i.e. phase, frequency and potentially Gauss-Markov states) is then used to produce a weighted average, named Implicit Ensemble Mean (IEM). The so-formed Composite Clock (CC) typically performs at the level of the best frequency reference of the ensemble for all time intervals in terms of stability. However, the so computed IEM is only a software solution with no physical/electrical output signal. In some cases a real signal output of this IEM is desirable or even mandatory, i.e. if it is used for synchronization of signals broadcasted by navigation satellites. The proposed mixed clock ensemble consists of both optical frequency references and classical microwave clocks. With this ensemble it is possible to realize a CC with fractional frequency stability below 10~(-15) [s/s] for time intervals between 10~0 and 10~5 s, serving as system time as well as an essential component of the synchronization scheme.
机译:时钟合奏是一种建立的概念,用于创造坚固且稳定的时间框架,例如,它用于定义协调的通用时间以及GPS系统时间。为了将全球导航卫星系统(GNSSS)引用到地面时间尺度,提供稳健,可靠和稳定的系统时间是强制性的关键方面。在这里,我们提出了一种混合时钟集合,用于将来的系统时间生成,用于利用卫星间光链路的未来GNSS,以同步星座的所有元素。我们考虑一种基于卡尔曼滤波器的算法,它结合了几种不同的时钟类型。该算法通过高级时钟模型计算预测,并通过处理集合中的时钟之间的差分测量来更新预测状态向量。然后,状态向量包括描述时钟行为的所有参数(即相位,频率和潜在的高斯 - 马尔可道状态)来生成加权平均值,命名为隐式合奏均值(IEM)。所形成的复合时钟(CC)通常在稳定性方面的所有时间间隔的最佳频率参考的水平。但是,所计算机的IEM只是一个没有物理/电输出信号的软件解决方案。在某些情况下,该IEM的实际信号输出是理想的甚至是强制性的,即,如果它用于由导航卫星广播的信号同步。所提出的混合时钟集合体包括光学频率参考和经典微波时钟。通过该集合,可以实现10〜(-15)[S / S]低于10〜0和10〜5 s之间的分数频率稳定性的CC,用作系统时间以及基本组件同步方案。

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