摘要 射频干扰（the Radio Frequency Interference，RFI）会对有用信号产生不利影响，进而严重影响成像质量。该文提出了一种改进的基于特征子空间的合成孔径雷达（Synthetic Aperture Radar，SAR）图像射频干扰抑制算法。相比传统算法，所提算法增加了专门用于射频干扰检测的预处理模块。在预处理阶段，分别在频域和时域对干扰所在的数据区域进行检测。在后处理阶段，只对检测到干扰的数据区域进行基于特征子空间的干扰抑制。相比传统算法，所提算法在保持图像细部结构方面效果更好，且避免了时域逐脉冲干扰抑制带来的巨大运算量，运算效率大幅提高。
Abstract：Radio-Frequency Interference (RFI) adversely affects useful signals, thereby seriously affecting image quality. In this study, a modified eigensubspace-based approach for radio-frequency interference suppression of Synthetic Aperture Radar (SAR) images is proposed. In the preprocessing stage of our proposed algorithm, RFI detection is conducted in both the frequency and time domains. Subsequently, we can only deal with the data containing the RFI via the traditional eigensubspace-based approach. Compared with the traditional eigensubspace-based approach, our proposed algorithm can function more efficiently and effectively.
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2018, Vol. 7 
