The extensively focused target recognition is one of the important problems for SAR imagery interpretation. With the aim to real-time processing, a fast SAR target recognition system is built, which utilizes the principal component analysis (PCA) for feature extraction and a multi-layer neural network (MLP NN) as the classifier. The experimental results show that it consumes little memory and runs very fast, thus can be used in the real-time situation.