摘要
研究比较了用于空中交通管制中飞行轨迹预测问题的三种不同算法,即α/β或α/β/γ滤波算法、自适应单一模型卡尔曼滤波算法和当前正研究应用的相互作用多模型卡尔曼波算法。针对三种算法,根据民航飞行的实际情况,分水平面和高度方向两部分设计了具体的飞行轨迹预测方案,并对这几种方案进行了蒙特卡洛仿真,给出了有关的仿真结果,证明相互作用多模型算法在空管轨迹预测中是更为有效和可行的。
This paper presents three different algorithms for air traffic control trajectory pre-diction.The three algorithms refer to an substituted alpha-beta filter,an adaptive single model kalman filter and an interacting multiple model Kalman filter respectively.The three algo-rithms are examined in several designs from horizon to altitude.After100Monte-Carlo simu -lations the paper presents all results which prove that the interacting multiple model kalman filter is superior to the others and thus feasible and effective.
出处
《中国民航学院学报》
2001年第6期1-6,共6页
Journal of Civil Aviation University of China
基金
国家自然科学基金资助项目(69732002).
