首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Narrow-Band Interference Suppression for SAR Based on Independent Component Analysis
【24h】

Narrow-Band Interference Suppression for SAR Based on Independent Component Analysis

机译:基于独立分量分析的SAR窄带干扰抑制

获取原文
获取原文并翻译 | 示例

摘要

The narrow-band interference (NBI) is a common jamming signal against synthetic aperture radar (SAR), which can degrade the imaging quality severely. This paper proposes a new method for NBI suppression in the data domain based on the independent component analysis (ICA). In this method, echoes contaminated by the NBI are identified in the frequency domain. Next, time filtering and whitening are performed to the identified echoes. Then, the ICA is carried out to decompose the echoes into a series of basis signals, and the jamming components are selected by thresholding. Finally, the NBI is reconstructed and subtracted from the echoes, and the well-focused SAR imagery is obtained by conventional imaging methods. The proposed method copes well with the time-varying NBI with little signal loss. Results of simulated and measured data have proved the validity of the proposed method.
机译:窄带干扰(NBI)是针对合成孔径雷达(SAR)的常见干扰信号,会严重降低成像质量。本文提出了一种基于独立分量分析(ICA)的数据域NBI抑制新方法。在这种方法中,在频域中识别出被NBI污染的回波。接下来,对所识别的回波执行时间滤波和白化。然后,执行ICA将回波分解为一系列基本信号,并通过阈值选择干扰分量。最后,重建NBI并从回波中减去NBI,并通过常规成像方法获得聚焦良好的SAR图像。所提出的方法很好地解决了随时间变化的NBI,信号损失很小。仿真和实测数据结果证明了该方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号