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基于压缩感知的二维雷达成像算法

谢晓春 张云华

谢晓春, 张云华. 基于压缩感知的二维雷达成像算法[J]. 电子与信息学报, 2010, 32(5): 1234-1238. doi: 10.3724/SP.J.1146.2009.01223
引用本文: 谢晓春, 张云华. 基于压缩感知的二维雷达成像算法[J]. 电子与信息学报, 2010, 32(5): 1234-1238. doi: 10.3724/SP.J.1146.2009.01223
Xie Xiao-chun, Zhang Yun-hua. 2D Radar Imaging Scheme Based on Compressive Sensing Technique[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1234-1238. doi: 10.3724/SP.J.1146.2009.01223
Citation: Xie Xiao-chun, Zhang Yun-hua. 2D Radar Imaging Scheme Based on Compressive Sensing Technique[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1234-1238. doi: 10.3724/SP.J.1146.2009.01223

基于压缩感知的二维雷达成像算法

doi: 10.3724/SP.J.1146.2009.01223

2D Radar Imaging Scheme Based on Compressive Sensing Technique

  • 摘要: 压缩感知理论能够有效地降低高分辨率雷达成像系统的数据率。该文通过对复基带雷达回波信号模型的稀疏性分析,提出了一种具有保相性的压缩感知距离压缩算法。在此基础上建立了距离向采用压缩感知距离压缩算法,方位向采用传统的雷达成像算法处理的雷达2维成像方案。通过对仿真和实测逆合成孔径雷达数据的成像处理验证了方案的有效性。
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出版历程
  • 收稿日期:  2009-09-15
  • 修回日期:  2010-02-09
  • 刊出日期:  2010-05-19

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