基于神经网络的舰船雷达目标识别

RADAR TAGET IDENTIFICATION OF NAVAL VESSELS WITH NEURAL NETWORKS

  • 摘要: 通过从目标的雷达回波中提取特征信息,并进行适当处理来判断目标的类型已成为目标识别的一种重要方法.本文利用神经网络对舰船雷达目标识别进行了探讨;仿真结果表明,辨识正确率较高.

     

    Abstract: Identifing the type of a target by extracting its features from the radar returns and then treat-ing them properly is one important approach for target identification.In this paper,target identification ofnaval vessels with neural networks is discussed.Simulation results show that the accuracy is very high.

     

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