07 - Systems, Subsystems and Equipment
ANOMALY B-VALUE DETECTION AND EXCLUSION OF GBAS BASED ON WAVELET MULTI-RESOLUTION ANALYSIS
R.X. Gong, Airbus (Tianjin) Final Assembly Company Limited, China; S.G. Sun¹, M. Xu¹, Y. Zheng, Northeast Air Traffic Management Bureau of Civil Aviation of Chi, China; ¹civil aviation university of China, China
Multiple Reference Consistency Check (MRCC) based on maximum likelihood estimation is widely used for Ground Based Augmentation System (GBAS) ground reference station anomaly B-value detection and exclusion to ensure the reliability of the integrity data. But B-value slowly deviating under certain conditions is a time consumption and effectiveness challenge. An anomaly B-value detection and exclusion method based on wavelet multi-resolution analysis (WMRA) technology is proposed to distinguish the fault sources effectively. The simulation results indicate that WMRA technology shortens the detection time and can determine the fault characteristics of the ground reference station which improves the detection accuracy.