一种基于BP神经网络的干扰抑制方法

An Jamming Suppression Method Based on BP Neural Network

在相控阵雷达中,由于其主瓣波束宽度较窄,通常有源干扰从副瓣进入,使雷达难以检测出目标,一般可以使用一种基于副瓣对消的干扰抑制方法,该方法采用维纳滤波消除副瓣中的干扰,能够取得较好的效果。采用一种基于BP神经网络的干扰抑制方法,针对有源干扰噪声的条件下,通过仿真分析,与基于副瓣对消的干扰抑制方法相比,对消比提高了0.5 dB,具有更好的对消效果。

In phased array radars,there are active jamming enters through sidelobe usually because of more narrow mainlobe beam width,which makes radar test targets difficultly.Conventionally a jamming suppression method based on sidelobe cancellation is used,and the method uses Wiener filtering to cancel the jamming in the sidelobe and the result is well.This paper uses a jamming suppression method based on BP neural network,aiming at the condition of active jamming noise,compares the method with the jamming suppression method based on sidelobe cancellation through simulation analysis.The cancellation ratio increases 0.5 dB.The result shows that the method proposed in this paper has better cancellation effect.