Anomaly detection method of BDS signal-in-space based on autoregressive distributed lag model

The signal-in-space (SIS) anomaly of BeiDou navigation satellite system (BDS) is an important factor affecting its high accuracy SIS quality assessment. Detecting and eliminating not only method to build fault model BDS, but also helps guarantee the integrity BDS positioning. Based on problem that traditional empirical threshold cannot accurately identify start end times anomalies in detection, which leads detection leakage, a combined based autoregressive distributed lag proposed this paper. Before calculation, spurious are removed by data cleaning. high-precision ranging error (SISRE) recovered Space State Representation (SSR) correction number, then projected user’s line sight direction, determined using (ARDL) model. feasibility effectiveness were analyzed collected 2021. test results show that, compared with method, can more detect points caused clock anomalies, improved. In addition, paper used count throughout year, highest frequency found geostationary orbit (GEO) inclined geosynchronous (IGSO), these mainly clocks.