[author_cn_name].[cn_title][J].空军工程大学学报:自然科学版,[year_id],[volume]([issue]):[start_page]-[end_page] 基于北斗的地基增强系统多基准一致性检验算法-A Multiple Reference Consistency Check Algorithm for Ground Based Augmentation System Based on BDS
文章摘要
胡杰1,2,严勇杰1,2,石潇竹1,2.基于北斗的地基增强系统多基准一致性检验算法[J].空军工程大学学报:自然科学版,2020,21(1):32-37
基于北斗的地基增强系统多基准一致性检验算法
A Multiple Reference Consistency Check Algorithm for Ground Based Augmentation System Based on BDS
  
DOI:
中文关键词: 地基增强系统  B值  多基准一致性检验  高斯膨胀法
英文关键词: ground based augmentation system  B value  multiple reference consistency check  Gaussian over-bounding method
基金项目:国家重点研发计划(2017YFB0503401); 江苏省自然科学基金(BK20170157)
作者单位
胡杰1,2,严勇杰1,2,石潇竹1,2 1.中国电子科技集团公司第二十八研究所, 南京, 2100072.空中交通管理系统与技术国家重点实验室, 南京, 210007 
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中文摘要:
      针对地基增强系统GBAS)中传统基于极大似然估计准则的多基准一致性检验(MRCC)算法无法有效区分基准站接收机故障来源问题,开展了GBAS地面系统MRCC算法研究。对GBASB值理论进行分析,给出了一种能够有效确定接收机故障来源的MRCC算法处理流程,并提出了一种基于高斯膨胀法的B值门限值计算方法。利用GBAS原型系统进行了验证实验,结果表明:当地面系统接收机无故障时,计算得到的所有基准站B值在门限值以内,通过一致性检验,一旦某个基准站接收机发生故障,则能够有效识别该故障,且当移除故障接收机后,剩余基准站的B值能够恢复到正常范围以内,验证了所提出方法的有效性。
英文摘要:
      Aimed at the problem that the traditional multiple reference consistency check (MRCC) algorithm based on maximum likelihood estimation criterion is failure to effectively distinguish the fault sources of reference station receivers in ground based augmentation system(GBAS), the MRCC algorithm of GBAS ground facility is studied. The theory of GBAS B Value is analyzed, and by a processing flow of MRCC algorithm effectively detected the failed receiver is given, and then a calculation method of B Value threshold based on Gaussian over bounding is proposed. The validation experiments are carried out by using the GBAS prototype. The results show that when there are no faults in the ground facility receivers, the calculated B value of each reference station is within the detection threshold and the consistency check is passed. Once a receiver fails, the trouble can be effectively identified, and when the failed receiver is removed, the B value of the remaining reference stations can be restored to the normal range, and the effectiveness of the proposed algorithm is verified.
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