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| High-resolution 3D Imaging via Wideband MIMO Radar Based on Kronecker Compressive Sensing |
| HU Xiaowei① TONG Ningning① HE Xingyu① DING Shanshan① LEI Teng② |
①(Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China)
②(Unit 95899 of PLA, Jiuquan 735018, China) |
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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.
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Received: 08 September 2015
Published: 14 March 2016
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| Fund: The National Natural Science Foundation of China (61372166, 61571459), The Natural Science Basic Research Plan in Shaanxi Province of China (2014JM8308) |
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Corresponding Authors:
HU Xiaowei
E-mail: 601237134@qq.com
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