ISAR IMAGING BASED ON L1 L0 NORMS HOMOTOPY 2D BLOCK SPARSE SIGNAL RECOVERY ALGORITHM | Zendy

Ma Changzheng | Zendy; EngPoh Ng | Zendy; Junjie Feng | Zendy

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ISAR IMAGING BASED ON L1 L0 NORMS HOMOTOPY 2D BLOCK SPARSE SIGNAL RECOVERY ALGORITHM

Author(s) -

Ma Changzheng,

EngPoh Ng,

Junjie Feng

Publication year - 2016

Publication title -

progress in electromagnetics research c

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.341

H-Index - 34

ISSN - 1937-8718

DOI - 10.2528/pierc16060701

Subject(s) - block (permutation group theory) , inverse synthetic aperture radar , signal recovery , homotopy , algorithm , signal (programming language) , computer science , compressed sensing , pattern recognition (psychology) , artificial intelligence , mathematics , radar , radar imaging , telecommunications , combinatorics , pure mathematics , programming language

Many traditional sparse signal recovery based ISAR imaging methods did not utilize the block scatterers information of targets. Some block Bayesian learning based ISAR imaging algorithms are computational expensive. In this paper, a 2D block 1 0 norms homotopy sparse signal recovery algorithm (the BL1L0 algorithm) is proposed and utilized to form the ISAR image. Compared with Bayesian-based algorithms, this algorithm can obtain ISAR images with similar image quality, but the computation speed is faster. Real data experiments verify the merits of our algorithm.

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