Rcs Space-based Radar Target Identification

After several years' development, the technique of radar target recognition has much great improvement. Space target recognition is a new field, in which field many fruits have been achieved by the force of neural network and fuzzy technique. Space target recognition based on RCS is a very important aspect.This paper mainly discusses the application of neural network and fuzzy technique, which integrated the neural network and fuzzy technique and educed the model of the space target recognition. This paper compares a little arithmetic and educes the classified result.1. We present the situation of radar recognition and the developing of neural network. The problem is presented, and we introduce the technique of fuzzy neural network simply.2. This paper discusses the achievement of the RCS value by the echo chart and the feature extraction.3. We research the classification principle of the neural network and the design of the structure. On the base of radar RCS data, we classify three kinds of space targets using several neural networks.4. In this paper, the algorithm of FCM and fuzzy neural network are presented. Finally, we discuss the fuzzy input and output.