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Security in application layer of radar sensor networks: detect friends or foe

机译:雷达传感器网络应用层的安全性:检测敌友

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Because accurate identification cannot be obtained when the Identification Friend or Foe (IFF) sensor is employed separately, a radar sensor network (RSN) is designed to improve the identification capability in this paper. The content of this paper is focused on the information fusion algorithm, which is one of the key technologies in the RSN. The fuzzy c‐means and the Bayesian network are chosen as the fusion algorithm. This algorithm can implement the identification friend or foe automatically after being trained by the training samples and expert's experience, and reduce the effect of uncertainties in the process of identification. At the same time, the algorithm can update the identification result with the augmentation of observations. The RSN can be expanded, if more information can be obtained, to adapt to the complicated environment, on the basis of this algorithm. The simulation results prove the validity and efficiency of the algorithm. Copyright ? 2012 John Wiley & Sons, Ltd. Radar sensor network (RSN) is designed to improve the target identification capability in this paper. Fuzzy c‐means and Bayesian network are chosen as the fusion algorithm, which is the one of the key technologies in the RSN. With this algorithm, the identification result can be updated with the augment of observations, and RSN can be expanded if more information can be obtained.
机译:由于单独使用“识别朋友或敌人”(IFF)传感器无法获得准确的识别,因此设计了一种雷达传感器网络(RSN)以提高识别能力。本文的内容集中在信息融合算法上,它是RSN中的关键技术之一。选择模糊c均值和贝叶斯网络作为融合算法。通过训练样本和专家经验的训练,该算法可以自动实现对敌友的识别,减少了识别过程中不确定性的影响。同时,该算法可以通过增加观测值来更新识别结果。如果可以获取更多信息,则可以基于该算法扩展RSN以适应复杂的环境。仿真结果证明了该算法的有效性和有效性。版权? 2012 John Wiley&Sons,Ltd.设计了雷达传感器网络(RSN)以提高目标识别能力。选择模糊c均值和贝叶斯网络作为融合算法,这是RSN中的关键技术之一。使用该算法,可以通过增加观察值来更新识别结果,如果可以获取更多信息,则可以扩展RSN。

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