海杂波背景下的小信号检测

Small-Target Detection in Sea Clutter

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。

With the prior knowledge of the chaotic dynamics of sea clutter,We present that RBF neural networks of judgement feedback can be used in the modeling and prediction of chaotic sea clutter.In this paper, a three-layers RBF network structure of judgement feedback is designed and fundamental properties of RBF networks are clarified when they are used in the modeling and prediction 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.