摘要
低分辨雷达目标识别一直是目标识别领域的研究难点。由于我国现役雷达基本上都是低分辨雷达,开展低分辨雷达目标识别研究有着极为现实的意义和迫切的需求。文中基于现役低分辨雷达,研究了目标识别的关键技术,提出了基于灰度图的特征提取方法,并采用径向基函数神经网络对所提取的特征进行了识别实验,达到了较高的识别率。
Low-resolution radar target recognition has always been a difficult problem in target recognition. Since the radars in our country, are almost all low-resolution radars, so there are real meaning and urgent requirements to intensity the research of the low-resolution radar target recognition. Based on radar in active service radar, the key technology of target recognition is studied. The methods of feature extraction based on the Gray-level Map are proposed, and the experiments are made by using the features as input of RBF NN, which lead to a satisfactory recognition result.
出处
《现代雷达》
CSCD
北大核心
2006年第9期48-50,共3页
Modern Radar
基金
国防预研基金资助项目
关键词
低分辨雷达
目标识别
RBF神经网络
low-resolution radar
target recognition
radial base function neural network （ RBF NN ）
