Clutter classification for cognitive radar with a deep convolutional neural network
IET International Radar Conference (IET IRC 2020)（2020）
摘要
Nowadays, the electromagnetic environment of radar is complex and changeable, and the traditional algorithm is no longer effective to the situation. Hence, it is difficult for radar to have better performance. In this paper, a clutter classification method for cognitive radar with a deep convolution neural network is proposed to solve the problems. Firstly, the dynamic environment information and ...
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关键词
feature extraction,image classification,convolutional neural nets,recurrent neural nets,cognitive radar,object detection,object tracking,image fusion
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