Multi-radar super-resolution imaging based compressed sensing

Fan Ye; JiYing Liu; Jubo Zhu

doi:10.1117/12.2281906

21 July 2017 Multi-radar super-resolution imaging based compressed sensing

Fan Ye, JiYing Liu, Jubo Zhu

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 1042037 (2017) https://doi.org/10.1117/12.2281906
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

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.

Citation Download Citation

Fan Ye, JiYing Liu, and Jubo Zhu "Multi-radar super-resolution imaging based compressed sensing", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042037 (21 July 2017); https://doi.org/10.1117/12.2281906

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