ISAR Super-resolution Imaging Based on Sparse Representation
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 twodimensional imaging. This paper researches sparsity of ISAR frequency signal and two-dimensional signal, and make superresolution 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.
Fan Ye Fan Zhang Jubo Zhu
School of Electronic Science and Engineering National University of Defense and Technology Changsha, School of Science Electronic Science and Engineering National University of Defense and Technology C
国际会议
上海
英文
1-6
2010-10-20（万方平台首次上网日期，不代表论文的发表时间）