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A Real-Time Detection Method for BDS Signal in Space Anomalies

机译:空间异常中BDS信号的实时检测方法

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Signal In Space (SIS) anomalies in satellite navigation systems can degrade satellite-based navigation and positioning performance. The occurrence of SIS anomalies from the BeiDou navigation satellite System (BDS) may be more frequent than for the Global Positioning System (GPS). In order to guarantee the integrity of BDS users, detecting and excluding SIS anomalies is indispensable. The traditional method through the comparison between the final precision ephemeris and the broadcast ephemeris is limited by the issue of long latency of precision ephemeris release. Through the statistical characteristics analysis of Signal In Space User Range Error (SISURE), we propose a real-time Instantaneous SISURE (IURE) estimation method by using the Kalman filtering-based carrier-smoothed-code to detect and exclude BDS SIS anomalies, in which the threshold for BDS IURE anomaly detection are obtained from the integrity requirement. The experimental results based on 1 Hz data from ground observations show that the proposed method has an estimation accuracy of 1.1 m for BDS IURE. The test results show that the proposed method can effectively detect the SIS anomalies caused by either orbit faults or clock faults.
机译:空间中的信号(SIS)卫星导航系统中的异常可能降低基于卫星的导航和定位性能。来自Beidou导航卫星系统(BDS)的SIS异常的发生可能比全球定位系统(GPS)更频繁。为了保证BDS用户的完整性,检测和排除SIS异常是必不可少的。通过比较最终精确的星历和广播星历之间的传统方法受到精密星历释放的长期延迟问题的限制。通过空间用户范围错误(速度)中信号的统计特征分析,我们通过使用基于Kalman滤波的载波平滑码来检测和排除BDS SIS异常的实时瞬时速度(IURE)估计方法。从完整性要求获得BDS Iure异常检测的阈值。从地面观察结果的基于1 Hz数据的实验结果表明,该方法对于BDS Iure的估计精度为1.1米。测试结果表明,该方法可以有效地检测由轨道故障或时钟故障引起的SIS异常。

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