Tucker Modeling based Kronecker Constrained Block Sparse Algorithm

• Tingping Zhang,
• Shangang Fan,
• Yunyi Li,
• Guan Gui,
• Yimu Ji,

Vol. 13, No. 2, February 27, 2019
10.3837/tiis.2019.02.010, Download Paper (Free):

• SAR imaging
• Tucker decomposition
• Compressed sensing
• Kronecker structure
• multiway block sparsity

Abstract

This paper studies synthetic aperture radar (SAR) imaging problem which the scatterers are often distributed in block sparse pattern. To exploiting the sparse geometrical feature, a Kronecker constrained SAR imaging algorithm is proposed by combining the block sparse characteristics with the multiway sparse reconstruction framework with Tucker modeling. We validate the proposed algorithm via real data and it shows that the our algorithm can achieve better accuracy and convergence than the reference methods even in the demanding environment. Meanwhile, the complexity is smaller than that of the existing methods. The simulation experiments confirmed the effectiveness of the algorithm as well.

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