海杂波背景下的小信号检测

利用海杂波信号为混沌这一先验知识,将判决反馈RBF神经网络应用于海杂波信号的建模与预测中,设计了一个三层判决反馈RBF神经网络结构。实验结果表明,判决反馈RBF网络模型对混沌时间序列有很好的拟合能力,对比典型RBF网络结构,该方法具有较好的检测效果。

Small-Target Detection in Sea Clutter

With the prior knowledge of the chaotic dynamics of sea clutter,We present that RBF neural networks of judgement feed- back can be used in the modeling and prediction of chaotic sea clutter.In this paper, a three- layers RBF network structure of judge- ment feedback is designed and fundamental properties of RBF networks are clarified when they are used in the modeling and predic- tion of chaotic time series. Simulation results demonstrate that the method has a comparable performance to match the original wave- form and a comparable detection performance to the classic RBF networks.