Unmanned combat aerial vehicle (UCAV) has become an important menace in the future air defence battlefield.
未来防空战场上无人攻击机已成为一种重要的空中威胁。
The mission decision-making method is validated by giving an example of UCAV swarm carries out mission of SEAD.
以无人作战飞机编队对抗敌地对空防御系统为例，对本文所研究的任务决策方法进行了验算。
A computer-vision-based runway obstacle detection scheme for an unmanned combat air vehicle(UCAV) was presented.
提出了基于视觉的无人作战飞机跑道障碍物检测方案。
The NEURON demonstrator will be used to investigate and validate technologies needed to design next-generation UCAV aircraft.
NEURON无人机演示将用于设计新一代无人机所需的技术研究和验证。
The NEURON demonstrator will be used to investigate and validate technologies needed to design next-generation UCAV aircraft.
NEURON无人机演示将用于设计新一代无人机所需的技术研究和验证。
A multistage influence diagram game based on one-step prediction is put forward for modeling the maneuvering decisions of UCAV in air combat.
提出了一种基于单步预测的多级影响图法，并将该理论应用在单机连续空战机动决策系统建模中。
The total life expectancy of the UCAV should be at least 20 years and the drone should have advanced avionics and electronic warfare capabilities.
无人作战飞机的总寿命至少应该有20年，而且拥有先进的航空电子设备和电子战的能力。
Finally, it is suggested that the flying wing configuration is an optimal selection of aerodynamic configuration design of an UCAV for reconnaissance.
最后，指出飞翼布局是无人侦察作战飞机气动布局的较好选择。
Due to mission profile , launched conditions and trajectory , maneuver chains for stand off missile are designed . instruction control model and maneuver model is setup for ucav flight simulation.
结合作战任务剖面、导弹发射条件和弹道，设计出无人机防区外攻击导弹发射前、后的机动动作链。
Due to mission profile , launched conditions and trajectory , maneuver chains for stand off missile are designed . instruction control model and maneuver model is setup for ucav flight simulation.
结合作战任务剖面、导弹发射条件和弹道，设计出无人机防区外攻击导弹发射前、后的机动动作链。
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