Weighted RAIM for Precision Approach

接收机自主完整性监测 计算机科学 全球导航卫星系统应用 全球定位系统 一致性(知识库) 加权 系统完整性 作战空间 实时计算 数据挖掘 可靠性工程 工程类 人工智能 计算机安全 放射科 电信 医学
作者
Todd Walter,Per Enge
出处
期刊:Proceedings of the 8th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1995) 卷期号:: 1995-2004 被引量:191
链接
摘要

The use of differential GPS is becoming increasingly popular for real-time navigation systems. As these systems migrate to safety-of-life applications (e.g. precision approach and landing), their integrity becomes more important than their accuracy. One method for increasing both accuracy and integrity is the use of weighting in the navigation solution. This method uses a priori information to weight certain satellites (e.g. those at higher elevation) over other satellites. The accuracy increases because we better use the information available. The integrity increases because satellites that are more likely to introduce error contribute less to the solution. A weighted position solution by itself does not provide sufficient integrity to support precision approach. However, this method can be combined with a weighted form of Receiver Autonomous Integrity Monitoring (RAIM) to increase the level of integrity. RAIM uses redundant measurements to check the consistency of an overdetermined solution. This check is crucial because only a user can detect certain error types (e.g. severe airframe multipath or local interference). A differential reference station can detect many types of errors. However, it is only at the user where all the information is combined. The use of RAIM (or some form of integrity at the user) must be combined together with integrity checking at the reference station to provide the overall safety of the system. Weighted RAIM is investigated for application to Category I precision approach as supported by a Wide Area Augmentation System (WAAS). This paper details how to implement weighted RAIM and how to use geometry selection to guarantee a certain level of protection. Also, we provide information on the availability of these geometries. The results are based upon analysis, Monte Carlo simulation and actual data collected from Stanford University’s wide-area differential GPS network.

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