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基于Kronecker压缩感知的宽带MIMO雷达高分辨三维成像

胡晓伟 童宁宁 何兴宇 丁姗姗 雷腾

胡晓伟, 童宁宁, 何兴宇, 丁姗姗, 雷腾. 基于Kronecker压缩感知的宽带MIMO雷达高分辨三维成像[J]. 电子与信息学报, 2016, 38(6): 1475-1481. doi: 10.11999/JEIT150995
引用本文: 胡晓伟, 童宁宁, 何兴宇, 丁姗姗, 雷腾. 基于Kronecker压缩感知的宽带MIMO雷达高分辨三维成像[J]. 电子与信息学报, 2016, 38(6): 1475-1481. doi: 10.11999/JEIT150995
HU Xiaowei, TONG Ningning, HE Xingyu, DING Shanshan, LEI Teng. High-resolution 3D Imaging via Wideband MIMO Radar Based on Kronecker Compressive Sensing[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1475-1481. doi: 10.11999/JEIT150995
Citation: HU Xiaowei, TONG Ningning, HE Xingyu, DING Shanshan, LEI Teng. High-resolution 3D Imaging via Wideband MIMO Radar Based on Kronecker Compressive Sensing[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1475-1481. doi: 10.11999/JEIT150995

基于Kronecker压缩感知的宽带MIMO雷达高分辨三维成像

doi: 10.11999/JEIT150995
基金项目: 

国家自然科学基金(61372166, 61571459),陕西省自然科学基础研究计划项目(2014JM8308)

High-resolution 3D Imaging via Wideband MIMO Radar Based on Kronecker Compressive Sensing

Funds: 

The National Natural Science Foundation of China (61372166, 61571459), The Natural Science Basic Research Plan in Shaanxi Province of China (2014JM8308)

  • 摘要: 在宽带多输入多输出(MIMO)雷达3维成像中,MIMO雷达收发阵元数量和空间分布的限制会导致图像的2维横向分辨率难以满足实际需求。该文利用压缩感知(CS)理论来实现图像在2维横向上的超分辨。考虑到对信号的每一维分别进行超分辨会损失各维间的耦合信息,提出一种基于Kronecker CS(KCS)的2维联合超分辨方法;为解决KCS在多维高分辨应用中存储量大、计算效率低的问题,进一步提出了一种基于低分辨3维图像先验信息的降维KCS方法。仿真和实测数据实验验证了方法的有效性。
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出版历程
  • 收稿日期:  2015-09-08
  • 修回日期:  2016-01-20
  • 刊出日期:  2016-06-19

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