利用径向神经网络和Volterra级数滤波器进行海杂波非线性预测

Nonlinear prediction of sea clutter using radial neural network and Volterra series filter

本文利用非线性预测理论建立基于径向神经网络和Volterra级数滤波的海杂波预测,利用IPIX雷达和Logisic混沌映射信号采集海杂波,然后进行非线性预测。实验结果表明,对于Logisic混沌映射信号产生的海杂波,通过设定阈值能够较好的将目标检测出来。在今后的研究中会进一步探究海杂波中变化缓慢的目标的检测,以及高效的基于径向神经网络和Volterra级数滤波器算法的海杂波消波方式。

In this paper, the prediction of sea clutter based on the radial neural network and Volterra series filter was established by using the nonlinear prediction theory. The sea clutter was collected by IPIX radar and Logisic chaotic map, and then the nonlinear prediction was made. Experimental results showed that the sea clutter generated by the Logisic chaotic mapping signal could be better by setting threshold.In the future research, it will further explore the detection of slow change of sea clutter, and the high efficiency of the sea clutter cancellation based on radial neural network and Volterra series filter algorithm.