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Intelligent flight management in threat environments

机译:威胁环境中的智能飞行管理

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摘要

An integrated threat localization and avoidance methodology is proposed for intelligent control of unmanned air vehicles and pilot advisory systems in manned aircraft operating in a threat environment. Passive threat-warning techniques are used to maintain electronic silence of the vehicle. Aircraft trajectories which are optimal with respect to time, fuel, risk, and final position are generated with a priori information and provided to a localization algorithm which identifies the position of an emitting threat to within a known maximum area of uncertainty. The method adapts throughout the mission to uncertain a priori information by providing increasingly more accurate threat location estimates and updated optimal flight trajectories.
机译:提出了综合威胁本地化和避免方法,以便在威胁环境中运行的载人飞机中的无人驾驶飞行器和试点咨询系统的智能控制。被动威胁警告技术用于维护车辆的电子沉默。通过先验信息生成关于时间,燃料,风险和最终位置的飞机轨迹,并提供给定位算法,该定位算法将发射威胁的位置识别到在已知的最大不确定性区域内。该方法通过提供越来越准确的威胁位置估计和更新的最佳飞行轨迹来涉及整个任务中的优先信息来不确定先验信息。

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