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。
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).
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
1999年第5期521-523,共3页
Journal of Beijing University of Aeronautics and Astronautics
基金
国家部委基金
关键词
空中交通管制
自动相关监视
甚高频数据链
air traffic control
Kalman filtering
information processing
automatic dependent surveillance
“current” model
VHF datalink
