VPL Optimization Method with Multi-objective Program

被引:1
|
作者
Zheng, Xueen [1 ]
Xu, Chengdong [1 ]
Niu, Fei [2 ]
Li, Anjin [3 ]
机构
[1] Beijing Inst Technol, Sch Aerosp Engn, Beijing, Peoples R China
[2] Beijing Satellite Nav Ctr, Beijing, Peoples R China
[3] Shandong Entry Exit Inspect & Quarantine Bur, Qingdao, Peoples R China
基金
中国国家自然科学基金;
关键词
GNSS; ARAIM; Multi-objective optimization; The LPV-200 service; RAIM;
D O I
10.1007/978-981-10-4588-2_59
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
As a promising fault detection algorithm, Advanced Receiver Autonomous Integrity Monitoring (ARAIM) was widely researched by European Space Agency (ESA) and the Federal Aviation Administration (FAA). To meet the requirement of precision approach based on vertical navigation and to improve the availability of the ARAIM algorithm, the vertical protection limit (VPL) needed to be optimized. The false detection probability and the missed detection probability were the optimization parameters, and the VPL optimization problem was transformed into double-objective program problem, so the VPL model was established. For verifying the effectiveness of the optimization algorithm, GPS navigation data acquired by two observation stations were used to optimize the VPL. The results show that the optimal VPL is positively correlated with the number of visible stars, and the optimization efficiency is 10%.
引用
收藏
页码:692 / 703
页数:12
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