Independent Researcher, Via Roma 34b, 21020 Brebbia, Italy.
Sensors (Basel). 2023 Feb 17;23(4):2283. doi: 10.3390/s23042283.
Several applications rely on time retrieved from Global Navigation Satellite System (GNSS), and this pushes for integrity tailored to timing. Integrity information could be broadcast by GNSS itself, but currently, there are no GNSSs providing such integrity information for a timing application. The integrity provided by GNSS itself could not be timely enough for real time users and does not include local effects due to multipath or other local interferences. In order to fill the gap, integrity can be locally/autonomously computed by the receiver using Timing Receiver Autonomous Integrity Monitoring (T-RAIM) algorithms. Three T-RAIM algorithms have been designed, implemented, and tested; specifically, the algorithms are Forward-Backward (FB), Danish, and Subset. The algorithms are applied to the classical Position Velocity and Timing (PVT) solution and to the time-only case assuming the receiver coordinates are known. Tests using two identical receivers located in different scenarios, open-sky and obstructed, have been carried out to validate the algorithms proposed. The increased redundancy obtained from the knowledge of the receiver coordinates play a fundamental role for the integrity algorithms performance. The benefits of the T-RAIM algorithms activation, in signal degraded conditions, clearly emerged in terms of frequency error and Allan Deviation (ADEV). A small increase of the execution time has been observed when the T-RAIM algorithms are used.
有几个应用程序依赖于全球导航卫星系统 (GNSS) 提供的时间,因此需要针对定时应用定制的完整性。完整性信息可以由 GNSS 本身广播,但目前没有任何 GNSS 为定时应用提供此类完整性信息。GNSS 本身提供的完整性可能对实时用户来说不够及时,并且不包括由于多径或其他本地干扰引起的本地效应。为了填补这一空白,可以使用定时接收机自主完整性监测 (T-RAIM) 算法由接收机本地/自主计算完整性。已经设计、实现和测试了三种 T-RAIM 算法;具体来说,这些算法是前向-后向 (FB)、丹麦和子集算法。这些算法应用于经典的位置速度和定时 (PVT) 解决方案,以及仅考虑时间的情况,假设接收机坐标已知。使用位于不同场景(开放天空和遮挡)的两个相同接收机进行了测试,以验证所提出的算法。从接收机坐标的知识中获得的冗余度增加对完整性算法的性能起着至关重要的作用。在信号降级条件下,T-RAIM 算法的激活在频率误差和 Allan 偏差 (ADEV) 方面明显显示出了优势。当使用 T-RAIM 算法时,观察到执行时间略有增加。