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飞机进近阶段的接收机自主完好性监测研究综述

Review of Receiver Autonomous Integrity Monitoring in Aircraft Approach Phase

  • 摘要: 随着全球导航卫星系统(Global Navigation Satellite System, GNSS)的快速发展,对飞机进近阶段接收机自主完好性监测(Receiver Autonomous Integrity Monitoring, RAIM)的研究也越来越多。本文首先介绍了飞机进近着陆不同阶段的GNSS完好性要求;其次综述了飞机进近阶段常用的RAIM算法,针对快照式的奇偶矢量法对微小故障和突变故障检测能力不足的问题提出滤波式卡尔曼滤波算法(Kalman Filter, KF),又因为KF不能解决非线性、非高斯的问题,提出了粒子滤波算法(Particle Filter, PF),随后又进一步提出了基于载波的RAIM算法(Carrier-Phase RAIM)和高级的RAIM算法(Advanced RAIM, ARAIM);然后介绍了RAIM可用性判定方法,并分析了单系统和多系统组合导航在飞机进近阶段的RAIM可用性研究现状,发现目前大多数研究主要是针对双系统和三系统组合导航,且大部分只分析了APV-Ⅰ、 APV-Ⅱ两个阶段,对于要求更高的CAT阶段几乎没有涉及;最后总结了RAIM在飞机进近阶段应用的不足之处,并且展望了未来的研究方向。

     

    Abstract: With the rapid development of Global Navigation Satellite System(GNSS), there are more and more researches on Receiver Autonomous Integrity Monitoring(RAIM) in the aircraft approach phase. Firstly, the integrity requirements of aircraft in different stages of approach and landing were introduced. Secondly, the RAIM algorithm commonly used in the aircraft approach phase was summarized, and the filtered Kalman Filter(KF) was proposed to solve the insufficient dectection ability problem of small faults and abrupt faults by the snapshot parity vector method, and the Particle Filter(PF) was proposed because KF couldn’t solve the nonlinear and non-Gaussian problems, and then the carrier-phase RAIM algorithm and the advanced RAIM algorithm were further proposed. Then, the RAIM availability determination method was introduced, and the current research status of RAIM availability for single system and multi systems integrated navigation in the aircraft approach stage were analyzed. It was found that most of the current research was mainly aimed at dual-system and three-system integrated navigation, and most of them were analyzed in APV-Ⅰ and APV-Ⅱ phases, but the more demanding CAT phase was hardly involved. Finally, the shortcomings of RAIM applied in aircraft approach were summarized, and the future research direction was prospected.

     

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