摘要
航空器在终端区飞行时,由于受到诸多因素的影响,导致其不能严格按照计划航线飞行。通过分析历史航迹数据,提出了一种基于并行隐马可夫模型的终端区航空器综合态势识别方法。首先提取航迹数据的各类特征点,然后根据其x坐标、y坐标以及z坐标建立3个隐马尔可夫模型。通过训练3个模型的参数,对航空器在终端区内的高度态势、速度态势以及方向态势进行识别。最后采用综合分析方法对航空器的综合态势进行识别。实验表明,该方法能够快速、准确、有效地识别出终端区航空器的综合飞行态势,为管制员发布管制指令提供依据。
When the aircraft fly in the terminal area, they will not follow the planned routes strictly due to many influencing factors. Through analyzing the historical traiectory data, a comprehensive situation identification method of terminal area aircraft based on Parallel Hidden Markov Model （PHMM） is proposed. Firstly, different kinds of feature points of trajectory data are ex- tracted. Then three PHMMs are established according to the x-, y- and z-coordinates. On this basis, the height, velocity and di- rection situations of the aircraft in the terminal area are identified prehensive situation of aircraft is identified through an integrated method can identify the comprehensive flight situation of terminal the basis for controllers to give instructions. by training parameters of these three models. Finally, the comanalysis. The experiment results demonstrate that the proposed area aircraft quickly, accurately and efficiently, and can provide
出处
《中国科技论文》
CAS
北大核心
2013年第10期1068-1072,共5页
China Sciencepaper
基金
国家自然科学基金资助项目(61039001)
中央高校基本科研业务费专项资金资助项目(ZXH2012N004
3122013P008
ZXH2012D002)
中国民航大学科研启动资金资助项目(2012QD02X)
关键词
模式识别
空中交通管理
并行隐马尔可夫模型
综合态势识别
终端区
pattern recognition
air traffic management
Parallel Hidden Markov Model
comprehensive situation identification
terminal area
