巴克码多普勒容限带宽扩展的神经网络法研究

A Study on the Application of Neural Network to Enlarge Doppler Tolerance of Barker Code

研究了人工神经网络在二相编码信号距离旁瓣中的应用。针对巴克码脉压技术多普勒容限带宽小的问题 ,在H .K .Kwan等提出的将多层感知器网络用于二相编码信号距离旁瓣抑制问题的基础上 ,根据G .Galati的时域非相干旁瓣处理方法 ,提出了一种非相干旁瓣处理的神经网络方法 ,实现了多普勒容限的扩展 ,并经计算机模拟得到证实。

In this paper, the application of neural netwo rk in the pulse compression of binary phase code signal is studied. Given that th e Doppler tolerance of Barker code is narrow, a method is proposed out basing on the neural network, which has much wider Doppler tolerance than H.K.Kwan's. Fin ally, the performance of the method is tested by the simulation.