Research on Rough Set-Neural Network and Its Application in Radar Signal Recognition
The purpose of reconnaissance systems information processing is signal recognition, which is also a key step in the whole process of radar reconnaissance information processing. In order to solve the problem of radar signal recognition, a new type of recognition model is established which combines rough set and neural network closely in this paper. The model can be divided into these steps such as recognition informations pretreatment, sample datas reduction by rough set, neural networks learning and training and networks recognition to information which is not identified. The model mixes rough sets strong rule extraction ability and the excellent classification ability of neural network through preprocessing initial information and reducing data and training network etc. The experimental results illustrate the model reduces subject factors in signal recognition, improves networks structure. Compared with traditional signal recognition methods, this model can manage to identify radar signal objectively and effectively without any transcendental information.
signal recognition rough set characteristic parameter attribute reduction neural network
Chen Ting Luo Jingqing Shen Bing
Electronic Engineering Institute,Hefei 230037 China
国际会议
西安
英文
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）