Knowledge of the signal-in-space (SIS) anomaly probability is important for the integrity monitoring of satellite navigation. An efficient SIS anomaly detection method is indispensable for characterizing the probability of SIS anomalies with sufficient confidence. The traditional GPS anomaly detection method based on the zero-mean Gaussian distribution assumption of the instantaneous signal-in-space user range error (IURE) is not suitable for the emerging BeiDou navigation satellite system (BDS) because of the nonzero-mean, asymmetric distribution of the BDS IURE. By deliberately extracting the time series trend terms of the satellite orbit and clock errors, an SIS anomaly detection method with the worst user location protection principle is proposed based on 6 years of BDS data from March 2013 to March 2019. The detection results have shown that the probability of single-satellite SIS anomalies is at the 10⁻³ level and the probability of multiple-satellite SIS concurrent anomalies is at the 10⁻⁴ level. Meanwhile, the operational service performance provided by the BDS gradually improves over time.

空间信号（SIS）异常概率的知识对于卫星导航的完整性监控非常重要。有效的SIS异常检测方法对于以足够的置信度表征SIS异常的可能性是必不可少的。基于瞬时空间信号用户范围误差（IURE）的零均值高斯分布假设的传统GPS异常检测方法由于非零均值，非对称性而不适用于新兴的北斗导航卫星系统（BDS）。 BDS IURE的分发。通过有意提取卫星轨道和时钟误差的时间序列趋势项，基于2013年3月至2019年3月的6年BDS数据，提出了一种基于用户位置保护原则最差的SIS异常检测方法。^-3级，并且多卫星SIS并发异常的概率为10 ^-4级。同时，随着时间的推移，BDS提供的运营服务性能逐渐提高。