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An availability prediction method for Satellite-Based Augmentation System

机译:基于卫星增强系统的可用性预测方法

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In recent years, with the development of wide area differential technology, Satellite-Based Augmentation System (SBAS) has gotten extensive application in every field, such as aviation, marine, ground transportation and so on. However, with the increase of satellites serving time, the capability of satellites may degenerate. For another, as more and more satellites have been used, the probability of double satellite ephemeris fault will be increased, making the navigation system unreliable to supply Safety of Life (SOL) Service. Therefore, the availability of SBAS has been growing more and more important. It is necessary to predict the availability of SBAS in advance so that users could choose a safe and efficient navigation system. Unfortunately, existing availability algorithm based on broadcast information doesn't work in this situation, where two real-time integrity parameters are required. One is User Difference Range Error Indicator (UDREI), which is used to describe integrity related to satellite clock/ephemeris error correction for each satellite. The other is Grid Ionospheric Vertical Error Indicator (GIVEI), which is used to describe integrity related to ionospheric error correction for each Ionospheric Grid Point (IGP). In this paper, the relationship between UDREI and the number of visible Ranging and Integrity Monitoring Stations (RIMS), as well as the relationship between GIVEI and the number of visible Ionospheric Pierce Point (IPP), is analyzed through statistical analysis. With the relationship, a simplified method of predicting the availability of SBAS is proposed to solve the heavy computation and weak timeliness of the traditional algorithms. Finally, experiments are performed to evaluate the effectiveness of our proposed method. Compared with the actual performance, the prediction is encouraging and this model may be a good contender for predicting the availability of SBAS.
机译:近年来,随着广域差分技术的发展,基于卫星的增强系统(SBA)在各个领域得到了广泛的应用,如航空,海洋,地面运输等。然而,随着卫星服务时间的增加,卫星的能力可能会堕落。对于另一个,随着已经使用的越来越多的卫星,将增加双卫星星历故障的概率,使导航系统不可靠地提供生命安全(SOL)服务。因此,SBA的可用性越来越重要。有必要预先预测SBA的可用性,以便用户可以选择安全高效的导航系统。不幸的是,基于广播信息的现有可用性算法在这种情况下不起作用,其中需要两个实时完整性参数。一个是用户差异范围错误指示符(UDREI),用于描述每个卫星的卫星时钟/星历误差校正相关的完整性。另一个是栅极电离层垂直误差指示器(GOTI),用于描述与每个电离层网格点(IGP)的电离层误差校正相关的完整性。本文通过统计分析分析了通过统计分析分析了UDREI与可见度和完整性监测站(轮辋)的关系,以及Pucei和可见电离层刺穿点(IPP)之间的关系。利用这种关系,提出了一种预测SBA可用性的简化方法,以解决传统算法的重计算和弱时间。最后,进行实验以评估我们所提出的方法的有效性。与实际性能相比,预测令人鼓舞,这种模型可能是预测SBA的可用性的好竞争者。

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