Image and Signal Processing Methods

Multiple-input-multiple-output radar superresolution three-dimensional imaging based on multidimensional smoothed L0

[+] Author Affiliations
Xiaowei Hu, Ningning Tong, Heming Wang, Yuchen Wang

Air Force Engineering University, Air and Missile Defense College, Changledong Street, Xi’an 710051, China

J. Appl. Remote Sens. 10(3), 035017 (Aug 22, 2016). doi:10.1117/1.JRS.10.035017
History: Received March 30, 2016; Accepted August 2, 2016
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Abstract.  By exploiting the sparsity of radar target image, it is hopeful to obtain a high-resolution target image in multiple-input-multiple-output (MIMO) radar via a sparse representation (SR) method. However, for the three-dimensional (3-D) imaging, the conventional SR method has to convert the 3-D problem into the one-dimensional (1-D) problem. Thus, it will inevitably impose a heavy burden on the storage and computation. A multidimensional smoothed L0 (MD-SL0) algorithm is proposed based on the conventional smoothed L0 algorithm. The proposed MD-SL0 can directly apply to the multidimensional SR problem without transforming to the 1-D case. As a result, a MIMO radar 3-D imaging method via MD-SL0 is achieved with high computation efficiency and low storage burden. Finally, the effectiveness of the method is validated by the results of comparative experiments.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Xiaowei Hu ; Ningning Tong ; Heming Wang and Yuchen Wang
"Multiple-input-multiple-output radar superresolution three-dimensional imaging based on multidimensional smoothed L0", J. Appl. Remote Sens. 10(3), 035017 (Aug 22, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.035017


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