摘要
完好性信息的实时检测对于保证陆基增强系统(GBAS)基准站无故障运行至关重要,其中多参考一致性检测(MRCC)的B值是GBAS地面完好性检测的重要参数之一。但传统的MRCC只能检测出故障基准站进而排除其所播发的改正信息,无法分析出基站信号的异常类型和程度。本文结合GBAS系统的故障模型,提出了一种基于希尔伯特—黄变换(HHT)的完好性信息异常检测方法。利用经验模态分解(EMD)故障信号,通过对分解后信号分量的Hilbert变换实现地面基准站故障情况的检测。由该方法推算出的故障斜率检测误差低于3%,为GBAS地面基准站在完好性检测方面提供更加及时、准确的数据支持。
Real-time detection of integrity information is critical to ensure trouble-free operation of the Ground Based Augmentation System(GBAS)reference station.Among them,the multiple reference consistency check(MRCC)B-value is one of the important parameters of GBAS ground integrity detection,but MRCC can not analyze the type and extent of signal anomaly.In this paper,the fault models of the GBAS system are discussed,and an integrity information anomaly detection method based on Hilbert-Huang transform(HHT)is proposed.This method uses empirical mode decomposition(EMD)fault signals to detect GBAS reference stations faults by analyzing the decomposed signal components.The detection range of the fault slope calculated by this method is less than 3%,which provides more timely and accurate data support for GBAS ground reference station integrity detection.
作者
倪育德
陈楚佳
Ni Yude;Chen Chujia(College of Electronics and Automation,Civil Aviation University of China,Tianjin 300300,China;Key Laboratory of Civil Aircraft Airworthiness Technology,Civil Aviation Administration of China,Tianjin 300300,China)
出处
《信号处理》
CSCD
北大核心
2020年第7期1075-1084,共10页
Journal of Signal Processing
基金
国家重点研发计划“广域航空安全监控技术及应用”项目“星基定位监视与机载设备适航技术”课题(2016YFB0502402)。
关键词
B值
完好性
故障诊断
希尔伯特—黄变换
B-values
integrity
fault detection
Hilbert-Huang transform(HHT)
