射频干扰(RFI)会造成低频段合成孔径雷达(SAR)成像质量恶化,影响正确解译和判读.针对线性调频(LFM)信号的SAR,提出了一种基于距离频谱域杂波估计的RFI抑制方法,采用特征分解完成RFI检测,利用平均周期图和直方图统计得到成像场景杂波强度的最大似然(ML)估计,通过阈值判断方法确定RFI信号的频谱区间后,在距离频域采用维纳滤波器进行RFI信号的滤除.L波段SAR数据的处理结果验证了该方法的有效性.
Radio frequency interference (RFI) has been known to deteriorate imaging quality of the low frequency band synthetic aperture radar (SAR), which effects correct interpretation. For SAR using linear frequency modula?tion (LFM) signals, a new RFI suppressing method based on clutter estimation in range frequency domain was pro?posed in this paper. The method uses Eigen-decomposition to complete RFI detection and gets maximum likelihood (ML) estimation of clutter intensity for imaging scene by using statistics of the averaged periodogram and the histo?gram. After determining spectrum intervals of RFI signals by the judging method of threshold, Wiener filter was ap?plied to filter the RFI signals in the range frequency domain. The processing results of L-band SAR data verify the effectiveness of this method.