【摘要】 提出了一种基于径向基函数 (RBF)网络的雷达信号分选识别方法 .这种RBF网络分选系统采用改进免疫算法设计RBF网络的隐层参数 ,可以达到较高的优化效率 ,使系统结构趋于全局最优 .在复杂雷达信号环境下的仿真实验表明 ,这种基于RBF网络的雷达分选识别系统能够有效利用输入信号资源 ,达到了较高的分选精度更多还原

【Abstract】 A synthetical radar signal sorting and recognitio n method based on radial basis function (RBF) network is proposed. In this signal sorting and recognition system, RBF hidden layer is designed by improved immune algorithm, which can reach the optimal structure of the system with high efficie ncy. Experiments under complex radar signal environment demonstrate that the pro posed RBF sorting and recognition system can fully exploit signal resources and reach very high classification precision.更多还原