基于神经网络预测器的混沌海杂波弱信号检测

Detecting Weak Signal in Chaotic Sea Clutter Using RBF Neural Network Predictor

针对海杂波中的弱信号检测问题 ,借鉴杂波的混沌动态建模思想 ,重点讨论非线性混沌序列的神经网络建模、预测及信号检测方案。基于神经网络拟合非线性函数的能力 ,提出神经网络预测混沌时间序列的算法和信号检测方案。介绍了所提算法的原理和步骤 ,针对具体应用问题 。

Detection of signal in chaotic noise is discussed in this paper. The neural network predicting-based algorithm is presented for this purpose. The paper analyzes the proposed algorithm's principle and its advantage for signal detection. Simulation measured data demonstrate the effectiveness of the proposed algorithm. Finally, a summary and some discussion about the proposed scheme are presented.