X波段雷达图像同频干扰的抑制方法研究

Research on co-channel interference suppression algorithm for X-band radar images

X波段雷达图像中,数据是按线存储的,同频干扰在图像上表现为射线状噪声或斑点噪声。为去除雷达图像中的同频干扰噪声,根据同频干扰在雷达回波图像中的特性,提出一种基于拉普拉斯边缘检测算子的噪声检测算法。首先利用基于拉普拉斯边缘检测算子改进的检测方法,将雷达图像分为灰度值渐变区域和突变区域;接下来通过设定阈值检测到同频干扰的位置;最后利用临近非噪声点线性插值噪声点。利用本文方法对32幅随机的雷达图像进行处理,实验结果说明该方法能有效滤除同频干扰。与传统的滤波算法进行对比,实验结果表明本算法不仅能很好地检测到同频干扰噪声,还能更有效地去除噪声,尽可能地保留原来海浪的回波信息。

In X-band radar images,data is saved by lines,and the co-channel interference appears as radial noise or speckle noise.In order to filter the noise,according to the co-channel interference（CCI） characteristic in radar echo images,a new idea based on the Laplace edge detection operator is proposed for CCI detection.Firstly this method divides the radar image into gray scale gradient regions and mutation regions,and detects the CCI points through setting a threshold.Then these points are interpolated linearly with the nearest non-noise points.32 random radar images were processed using this method,and result shows that this method can effectively filter CCI.Finally compared with some traditional filtering algorithms,results show that this algorithm can detect co-channel interference noise points well,effectively remove noise and retain original wave echo information at the most.