Improved Multi-Aircraft Ground Trajectory Prediction for Air Traffic Control
Improved Multi-Aircraft Ground Trajectory Prediction for Air Traffic Control
复制标题
改进的空中交通管制多飞机地面轨迹预测
DOI：
10.2514/1.46190
复制
发表时间：
2010
影响因子：
2.6
通讯作者：
J. Lygeros
中科院分区：
文献类型：
--
作者：
Ioannis Lymperopoulos;J. Lygeros
准确的轨迹预测在先进的空中交通管制行动中起着至关重要的作用，因为它构成了冲突检测和解决方案的基础。已经证明，使用雷达测量可以提高单架飞机的弹道预测精度，但如果可以融合来自不同地点和时间瞬间的多架飞机的测量，预计收益将大得多。这里展示了如何将多飞机传感器融合问题表述为一个高维状态估计问题。为了解决这一问题，提出了一种新的粒子滤波算法。通过利用问题的结构，可以解决过程中出现的技术挑战：有效地处理信息，处理非常高维状态的估计，以及处理飞机运动和控制的非线性动力学。在涉及多架飞机（从一架到数百架）的可行性研究中，证明了新算法的有效性。研究表明，在多架飞机存在的情况下，弹道预测结果接近理论精度极限。
Accurate trajectory prediction plays a fundamental role in advanced air traffic control operations, because it forms the basis for (among others) conflict detection and resolution schemes. It has been demonstrated that improved trajectory prediction accuracy can be achieved using radar measurements for a single aircraft, but the benefits are expected to be much greater if one can fuse measurements from multiple aircraft at different locations and time instants. It is shown here how this multi-aircraft sensor fusion problem can be formulated as a high-dimensional state estimation problem. A novel particle filtering algorithm is developed to solve it in realistic scale situations. By exploiting the structure of the problem, one can address the technical challenges that arise in the process: efficiently handling the information, dealing with the estimation of a very high-dimensional state, and dealing with the nonlinear dynamics of aircraft motion and control. The effectiveness of the novel algorithms is demonstrated on feasibility studies involving multiple aircraft (from one to several hundred). The studies show that in the presence of multiple aircraft the trajectory prediction results approach the theoretical limit ofaccuracy under these conditions.
影响因子：
6.1
作者：
GEWEKE, J
通讯作者：
GEWEKE, J