Research and Development on Automatic Dependent Surveillance System Based on VHF Datalink
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摘要: 介绍了基于甚高频(VHF)数据链的自动相关监视(ADS)系统的基本概念,构成原理和系统结构.为改善ADS系统的跟踪精度,将基于"当前"模型的卡尔曼滤波算法用于ADS系统数据处理.数字仿真和实际应用表明:该算法可以有效地消除由于突发干扰和飞机姿态变化造成的ADS报文丢失、乱码对ADS系统跟踪精度的影响,使ADS系统更为实用化.Abstract: The basic concept, construction principle and implementation for the ADS(Automatic Dependent Surveillance) system are presented. The tracking precision is one of the most important factors of the practicality of ADS system. The outburst disturbance and the lose of ADS message and error code caused by the change of plane' s attitude severely affect the tracking precision of ADS system. An Kalman filtering algorithm based on the "Current" model is adopted to process the ADS data to improve the tracking precision of ADS system. Numerical simulation shows that this method is effective. This Kalman filtering algorithm makes the ADS system more practicable for ATC(Air Traffic Control).
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