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ISAR super-resolution imaging based on sparse representation

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3 Author(s)
Fan Ye ; Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense & Technol., Changsha, China ; Fan Zhang ; Jubo Zhu

Super-resolution imaging technique can improve resolution of ISAR image. Traditional methods based on spectrum estimation need to know the number of scattering centers in advance, and match two-dimensional poles in two-dimensional imaging. This paper researches sparsity of ISAR frequency signal and two-dimensional signal, and make super-resolution imaging equal to signal sparse representation. By Basic Pursuit algorithm, a clearer image is obtained without the number of scattering centers estimation and match processing.

Published in:

Wireless Communications and Signal Processing (WCSP), 2010 International Conference on

Date of Conference:

21-23 Oct. 2010