RS和RBF在雷达信号识别中的应用

Application of Radar Signal Recognition Based on Rough Sets and the Radical Basis Function

为了更好地解决雷达信号识别的问题,简单介绍了粗糙集相关理论,在提出一种属性约简方法的基础上,利用粗糙集和径向基网络的优势,构建了一种耦合模型。通过对雷达信号实例的仿真实验,说明了该方法能够客观有效地对雷达信号进行识别,具有很强的实用性。

In order to solve the problem of radar signal recognition, rough sets were introduced, then on the basis of giving a new type of attribute reduction method, a coupling recognition model is established which combines rough set and neural network closely in this paper. The simulation results illustrate the model can manage to identify radar signal objectively and effectively,furthermore the model is very practical.