ISAR Image Formation Using Sequential Minimization of L0 and L2 Norms

Details ISAR Image Formation Using Sequential Minimization of L0 and L2 Norms ISAR Image Formation Using Sequential Minimization of L0 and L2 Norms

2012-02-23

arxiv.org/abs/1202.5110v1

Computer Science

Information Theory

submitted to IEEE Transactions on Aerospace and Electronic Systems

Scientific paper

A sparsity-driven algorithm of inverse synthetic aperture radar (ISAR) imaging is proposed. Based on the parametric sparse representation of the received ISAR signal, the problem of ISAR image formation is converted into the joint estimation of the target rotation rate and the sparse power distribution in the spatial domain. This goal is achieved by sequential minimization of L0 and L2 norms, which ensure the sparsest ISAR image and the minimum recovery error, respectively.

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