Abstract
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.
Highlights
The BeiDou navigation satellite System (BDS) will provide Positioning, Navigation and Timing (PNT) services for the Asia-Pacific region before 2020 [1]
The Instantaneous SISURE (IURE) can be modelled as the combination of the zero-mean normal distribution with a trend bias
6 of 15 the IURE can be modelled as the combination of the zero-mean normal distribution with a trend bias
Summary
The BeiDou navigation satellite System (BDS) will provide Positioning, Navigation and Timing (PNT) services for the Asia-Pacific region before 2020 [1]. For most of real-time PNT users, the orbit and clock parameters are derived from broadcast ephemeris. In order to ensure the reliability of positioning, the health flag contained in the broadcast ephemeris is widely used to indicate the availability of satellites [2]. The broadcast ephemeris belongs to the predicted ephemeris. Due to the possible inconsistency between the prediction model and the true kinetic model, the predicted ephemeris sometimes cannot accurately describe the true satellite orbit and clock, and cause largely biased position errors. Real-time detection of satellite orbit and clock anomaly is indispensable for the reliability of positioning
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