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首页> 外文期刊>Journal of Guidance, Control, and Dynamics >Improved Multi-Aircraft Ground Trajectory Prediction for Air Traffic Control
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Improved Multi-Aircraft Ground Trajectory Prediction for Air Traffic Control

机译：用于空中交通控制的改进型多飞机地面轨迹预测

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Accurate trajectory prediction plays a fundamental role in advanced air traffic control operations, because itnforms the basis for (among others) conflict detection and resolution schemes. It has been demonstrated that improvedntrajectory prediction accuracy can be achieved using radar measurements for a single aircraft, but the benefits arenexpected to be much greater if one can fuse measurements from multiple aircraft at different locations and timeninstants. It is shown here howthismulti-aircraft sensor fusion problemcan be formulated as a high-dimensional statenestimation problem. A novel particle filtering algorithm is developed to solve it in realistic scale situations. Bynexploiting the structure of the problem, one can address the technical challenges that arise in the process: efficientlynhandling the information, dealing with the estimation of a very high-dimensional state, and dealing with thennonlinear dynamics of aircraft motion and control. The effectiveness of the novel algorithms is demonstrated onnfeasibility studies involvingmultiple aircraft (fromone to several hundred). The studies show that in the presence ofnmultiple aircraft the trajectory prediction results approach the theoretical limit of accuracy under these conditions.
机译：准确的轨迹预测在先进的空中交通管制操作中起着根本性的作用，因为它构成了（以及其他）冲突检测和解决方案的基础。已经证明，使用一架飞机的雷达测量结果可以提高航迹预测的准确性，但是如果可以融合来自不同地点和时间的多架飞机的测量结果，收益将大大提高。此处显示了如何将此多飞机传感器融合问题表达为高维状态估计问题。开发了一种新颖的粒子过滤算法以解决实际规模情况下的问题。通过研究问题的结构，可以解决过程中出现的技术挑战：有效地处理信息，处理非常高的维数状态的估计以及处理飞机运动和控制的非线性动力学。新算法的有效性在涉及多架飞机（从一架到几百架）的可行性研究中得到了证明。研究表明，在存在多架飞机的情况下，轨迹预测结果在这些条件下接近理论上的精度极限。

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