提出了一种基于低分辨雷达微B显数据的目标识别方法：首先进行微B显数据的预处理；然后提取特征量；最后应用BP神经网进行雷达目标的粗分类。利用雷达实测数据的仿真结果表明，该方法可以较好地完成目标的粗分类，并达到90％左右的识别率。

In this paper, we propose an algorithm for target recognition based on the micro B indicator data of low resolution radar. After processing the data of micro B indicator and extracting the features, the algorithm performs target crude classification through BP neural network. The simulation based on real radar data shows that the algorithm can correctly classify 90% of the target. [

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