高频雷达必需射频干扰抑制,而抑制效果常受制于干扰样本质量.针对雷达正常工作如何提取干扰样本的问题,首次提出基于距离 -多普勒(range-Doppler,RD)图图像分割的射频干扰提取方法.通过将常规处理的RD图转换为灰度图像,然后设计去海杂波、边缘检测、分段和整段直线检测算法,从而确定干扰边缘线并提取出干扰区域.由此恢复的干扰数据,不受海杂波影响,能够准确估计干扰特性和提高抑制效果.实践表明,该算法准确度高,能提取被海杂波覆盖达75% 的干扰线.为验证其应用,采用该算法辅助改进滤波器设计,能够取得良好的干扰抑制效果.%High frequency radars need to suppress the radio frequency interference(RFI),w here suppres-sion performances are constrained by RFI samples.To obtain the RFI samples from the received data or the range-Doppler(RD)map,a novel approach is proposed to extract the RFI regions in the RD map based on im-age segmentation methods.By transforming the RD map into a gray image,algorithms of sea-clutter mitigation, edge detection,segments and lines detection are developed,to extract the RFI edges and regions.Thus,the re-covered RFI data can be used to estimate the RFI properties accurately and improve the suppression perform-ances.Practical experiences show that the proposed approach can detect the RFI line successfully even w hen 75% of it is covered by sea-clutter.To demonstrate its application,the proposed algorithms is also applied in re-ceive filter design w hich can suppress the RFI effectively.
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