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Multi-radar super-resolution imaging based compressed sensing
Author(s): Fan Ye; JiYing Liu; Jubo Zhu
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Paper Abstract

In this paper, a technology of multi-radar imaging based on compressed sensing is proposed to improve image resolution. By constructing sample matrix, multi-radar super-resolution imaging is transformed to a compressed sensing problem. Utilizing the signal’s sparsity, super-resolution image can be obtained by solving an optimization problem. Simulation shows effectiveness of this technology.

Paper Details

Date Published: 21 July 2017
PDF: 5 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042037 (21 July 2017); doi: 10.1117/12.2281906
Show Author Affiliations
Fan Ye, National Univ. of Defense Technology (China)
JiYing Liu, National Univ. of Defense Technology (China)
Jubo Zhu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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