Target detection in sea clutter based on chaos theory

Based on the fact that sea clutter is chaotic which is known to us, the ability of study and prediction of the RBF neural network is utilized to reconstruct the underlying dynamics of sea clutter data firstly in this paper. Then detection analysis using weak pulse signal and rectangle signal is carried out by using of a prediction error-based method. This method can detect weak pulse signal with SCR improvement to 43.389 8 dB. However, detection performance improves only nearby the beginning, the end and the similar SCR improvement can be gotten at these two points, points between them can not be detected and can not be gotten similar SCR improvement.