A super resolution target separation and reconstruction approach for single channel sar against deceptive jamming

A super resolution target separation and reconstruction approach for single channel sar against deceptive jamming
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DOI:
10.1016/j.dt.2021.10.008
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发表时间:
2021-10
期刊:
影响因子:
5.1
通讯作者:
Shi-qi Liu;Bing Li;Bo Zhao;Lei Huang;Yue-zhou Wu;Weimin Bao
Shi-qi Liu;Bing Li;Bo Zhao;Lei Huang;Yue-zhou Wu;Weimin Bao
中科院分区:
工程技术2区
文献类型:
--
作者:
Shi-qi Liu;Bing Li;Bo Zhao;Lei Huang;Yue-zhou Wu;Weimin Bao

文献摘要

相似文献

具有高保真和欺骗性的合成孔径雷达优良的遥感能力在遇到欺骗性干扰时会受到严重的误导。本文采用动态合成孔径(DSA)方案提取真假目标之间的差异。为保证单通道SAR系统的遥感能力,提出了一种同时抑制欺骗干扰和重建目标的方法。将系统模型表述为一个需要估计未知参数字典的稀疏信号恢复问题。采用迭代重加权的方法,在最大化-最小化框架下联合处理字典参数学习和目标重构问题,在目标函数中引入代理函数来最大化高斯熵,规避目标函数的非凸性。通过字典参数学习,避免了基于固定网格的网格不匹配问题。因此,该方法可以获得超分辨率的结果。此外,本文还提出了一种简单有效的SAR数据提取的DSA分割方案,该方案只需要两个DSA。对定位误差和重构功率误差的实验结果表明,该方法具有较好的欺骗性干扰抑制效果。
The excellent remote sensing ability of synthetic aperture radar (SAR) will be misled seriously when it encounters deceptive jamming which possesses high fidelity and fraudulence. In this paper, the dynamic synthetic aperture (DSA) scheme is used to extract the difference between the true and false targets. A simultaneous deceptive jamming suppression and target reconstruction method is proposed for a single channel SAR system to guarantee remote sensing ability. The system model is formulated as a sparse signal recovery problem with an unknown parametric dictionary to be estimated. An iterative re-weighted method is employed to jointly handle the dictionary parameter learning and target reconstruction problem in an majorization-minimization framework, where a surrogate function majorizing the Gaussian entropy in the objective function is introduced to circumvent its non-convexity. After dictionary parameter learning, the grid mismatching problem in a fixed grid based method is avoided. Therefore, the proposed method can reap a super resolution result. Besides, a simple yet effective DSA section scheme is developed for the SAR data excerpting, in which only two DSAs are required. Experimental results about location error and reconstruction power error reveal that the proposed method is able to achieve a good performance in deceptive jamming suppression.