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Evolving Sensor Suites for Enemy Radar Detection

机译:适应敌人雷达检测的传感器套件

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Designing optimal teams of sensors to detect the enemy radars for military operations is a challenging design problem. Many applications require the need to manage sensor resources. There is a tradeoff between the need to decrease the cost and to increase the capabilities of a sensor suite. In this paper, we address this design problem using genetic algorithms. We attempt to evolve the characteristics, size, and arrangement of a team of sensors, focusing on minimizing the size and arrangement of a team of sensors, focusing on minimizing the size of sensor suite while maximizing its detection capabilities. The genetic algorithm we have developed has produced promising results for different environmental configurations as well as varying sensor resources.
机译:设计最佳传感器团队,以检测军事行动敌人的雷达是一个具有挑战性的设计问题。许多应用需要需要管理传感器资源。有必要减少成本并增加传感器套件的能力之间的权衡。在本文中,我们使用遗传算法来解决这个设计问题。我们试图演变传感器团队的特性,尺寸和排列,专注于最大限度地减少传感器团队的尺寸和排列,专注于最小化传感器套件的大小,同时最大化其检测能力。我们开发的遗传算法为不同的环境配置以及不同的传感器资源产生了有希望的结果。

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