Virtual motion camouflage based phantom track generation through cooperative electronic combat air vehicles

As an example of complex cooperative missions, coherent phantom track generation through controlling multiple electronic combat air vehicles is currently an area of great interest to the defense agency for the purpose of deceiving a radar network. However, it has been a challenge to design the optimal or even feasible coherent trajectories for this type of problem due to the high dimensionality and the strong coupling between the phantom and actual vehicles. This problem becomes even more difficult to solve when realistic kinematic, dynamics, and geometric constraints in a three-degree-of-freedom formation have to be considered. This paper describes how an interesting bio-inspired motion strategy can be used to design real-time trajectories for a (1) feasible constant speed coherent mission, (2) maximum-duration constant speed coherent mission, and (3) optimal trajectory mission for general cases. The proposed method will dramatically reduce the dimension of the problem and thus real-time optimal trajectory design can be achieved. Also the fact that fewer equality constraints are involved in solving the formulated nonlinear programming will make the convergence a lot easier.

作为复杂协同任务的一个例子，通过控制多架电子战飞行器产生相干虚假航迹目前是国防机构非常感兴趣的一个领域，目的是欺骗雷达网络。然而，由于虚假飞行器和实际飞行器之间的高维度和强耦合，针对这类问题设计最优甚至可行的相干轨迹一直是一个挑战。当必须考虑三自由度编队中的实际运动学、动力学和几何约束时，这个问题就更难解决。本文描述了一种有趣的受生物启发的运动策略如何可用于为以下情况设计实时轨迹：（1）可行的匀速相干任务；（2）最长持续时间的匀速相干任务；（3）一般情况下的最优轨迹任务。所提出的方法将大幅降低问题的维度，从而能够实现实时最优轨迹设计。而且，在求解所构建的非线性规划时涉及的等式约束更少这一事实将使收敛变得容易得多。