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

Area of Science:

• Satellite Navigation Systems
• Geomatics Engineering
• Signal Processing

Background:

• Signal In Space (SIS) anomalies degrade satellite navigation performance.
• BeiDou navigation satellite System (BDS) may experience more frequent SIS anomalies than Global Positioning System (GPS).
• Detecting and excluding SIS anomalies is crucial for BDS user integrity.

Purpose of the Study:

• To propose a real-time method for detecting and excluding BeiDou SIS anomalies.
• To address the limitations of traditional methods due to the latency of precision ephemeris release.

Main Methods:

• Statistical analysis of Signal In Space User Range Error (SISURE).
• Development of a real-time Instantaneous SISURE (IURE) estimation method using Kalman filtering-based carrier-smoothed-code.
• Setting anomaly detection thresholds based on integrity requirements.

Main Results:

• The proposed method achieves an estimation accuracy of 1.1 meters for BDS IURE.
• Experimental results based on 1 Hz ground observation data validate the method's effectiveness.
• The method successfully detects SIS anomalies caused by orbit or clock faults.

Conclusions:

• The developed real-time IURE estimation method effectively detects and excludes BeiDou SIS anomalies.
• This contributes to guaranteeing the integrity of BDS users in real-time.
• The method offers an improvement over traditional approaches with long ephemeris latency.