基于扩展自适应融合算法的GILS进近系统研究

Research on GILS Approach System Based on Extended Adaptive Fusion Algorithm

摘要:

通过研究飞机在低可见视程条件下的进近问题,力图充分利用全球卫星导航系统的能力,使机场在不需要更新陆基无线电导航系统的情况下从I类盲降标准提升到II类及以上的相同或可比拟的运行标准;通过对某航空公司飞行数据的分析,为提高飞机进场水平导航精度和空域利用率,提出了组合应用全球卫星导航系统GNSS(global navigation satellite system)和仪表着陆系统ILS(instrument landing system)的进近体制模型,即为GILS(GNSS and ILS)进近系统;利用扩展自适应融合算法,将两种导航源的定位数据融合,通过数学建模,仿真模拟飞机进近航迹;仿真和实际验证试飞数据表明,该方案可有效提高飞机的水平导航精度和空域利用率,有潜力将CAT I标准提升为类CAT II水平。

Abstract:

This paper gave a research on approach in the low visibility conditions, making full use of Global Navigation Satellite System which was autonomously controlled by our country to help the airports without updating the ground-based radio navigation equipment from Instrument Landing System Category I to Category II of the same on analogous operational standards. According to analyze the flight data of an airline, in order to improve the accuracy of the aircraft approach and the use of space zones, It introduced the model of differential Global Navigation Satellite System (GNSS) integrating with Instrument Landing System (ILS), to be considered as GILS (GNSS and ILS) approach system. It will employ the extended adaptive fusion algorithm to combine the location data of this two kinds of navigation source. It will simulate the approach path by mathematical modeling. Both the simulation and the actual flight data show this scheme can effectively improve the aircraft’s lateral navigation accuracy and the use of space zones and also has the potential to promote CAT I to CAT II.