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

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

1.
(空军工程大学防空反导学院西安 710051) ②(95899部队酒泉 735018)

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)

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- 被引次数: 0
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

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

1.
(Air and Missile Defense College, Air Force Engineering University, Xi&rsquo
2.
(Unit 95899 of PLA, Jiuquan 735018, China)

Funds:

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

摘要

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。
- 宽带MIMO雷达 /
- Kronecker压缩感知 /
- 单次快拍成像 /
- 高分辨3维成像
Abstract: In the Three Dimension (3D) imaging using a wideband Multiple-Input Multiple-Output (MIMO) radar, the resolution in the two cross-range dimensions is usually not satisfactory in practice, limited by the length of the MIMO radar array. In the paper, the Compressive Sensing (CS) theory is applied to realize the super resolution in the two cross-range dimensions. Firstly, a joint two dimensions super resolution method via Kronecker CS (KCS) is proposed, to avoid losing the coupling information among different dimensions, which will happen when the super resolution is just considered in each dimension separately. Then, in order to solve the problem of huge storing and computing burden in KCS, a dimension reduction method is proposed further by utilizing the prior information of the low resolution 3D image. Finally, the validity of the method is verified with simulated data and real measured data experiments.
- Wideband MIMO radar /
- Kronecker Compressive Sensing (KCS) /
- One single snapshot imaging /
- High- resolution three dimension imaging

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