基于内禀啁啾分量分解的SAR宽带干扰抑制

Wenchang Han, Shiguo Mei, Weiwei Fan, Tian Tian, Feng Zhou
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引用次数: 0

摘要

宽带干扰严重影响合成孔径雷达(SAR)图像的质量。由于WBI占用了较大的带宽,因此很难对其进行缓解。现有的一些基于变换域分析或滤波器设计的WBI缓解方法存在模型失配和信号丢失的问题。为了解决这一问题,提出了一种基于瞬时频率估计和内禀啁啾分量分解(ICCD)的抑制WBI的方法。首先,利用短时傅立叶变换(STFT)在时频域表示受wbi污染的SAR回波。然后,对WBI分量进行中频估计。最后,使用ICCD提取WBI。实验结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wideband Interference Mitigation for SAR Based on Intrinsic Chirp Component Decomposition
The wideband interferences (WBIs) seriously degrade the quality of the synthetic aperture radar (SAR) image. Since the WBI occupies a larger bandwidth, it is difficult to mitigate it. Some existing WBI mitigation methods based on transform-domain analysis or filter design suffer from model mismatch and signal loss. In order to solve this problem, a method based on instantaneous frequency (IF) estimation and intrinsic chirp component decomposition (ICCD) is proposed to suppress WBI in this paper. First, a WBI-contaminated SAR echo is represented in the time-frequency domain by using the short-time Fourier transform (STFT). Then, the IF estimation is carried out for the WBI components. Finally, the WBI is extracted by using the ICCD. The experimental results verify the effectiveness of the proposed method.
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