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Research on Combined Air Collision Prevention Technology

机译:综合防撞技术研究

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As number and frequency of flight is increasing, the safety of air traffic becomes important issue of concern. Currently what is used to ensure the safety of air traffic contains air traffic control (ATC), airborne collision avoidance system (TCAS) and automatic dependent surveillance technology (ADS-B), which has been widely used. But they are independent of each other, and data fusion is not sharing, which will result that the track data of flight is not the optimization and the judgment of whether there is a potential safety hazard exists is not accuracy. This article made three kinds of technology into combination, using kalman filtering method to get data and track on the three ways for fusion, which gave the best estimate of the aircraft track, and improved the accuracy of air traffic situational judgment.
机译:随着航班的数量和频率正在增加,空中交通的安全成为关注的重要问题。目前,用于确保空中流量的安全性包含空中交通管制(ATC),空中碰撞系统(TCAS)和自动依赖监控技术(ADS-B),已被广泛使用。但它们彼此独立,数据融合不分享,这将导致飞行的轨道数据不是优化,并且是否存在潜在安全危险的判断是不准确的。本文使三种技术组合成了,采用卡尔曼滤波方法获取数据和跟踪三种融合方式,这给出了飞机轨道的最佳估计,提高了空中交通态度判断的准确性。

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