DROP ALGORITHM FOR SUPER RESOLUTION SCATTERING CENTER EXTRACTION | Zendy

Young-Jae Choi | Zendy; InSik Choi | Zendy

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DROP ALGORITHM FOR SUPER RESOLUTION SCATTERING CENTER EXTRACTION

Author(s) -

Young-Jae Choi,

InSik Choi

Publication year - 2018

Publication title -

electromagnetic waves

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.437

H-Index - 89

eISSN - 1559-8985

pISSN - 1070-4698

DOI - 10.2528/pier18082304

Subject(s) - drop (telecommunication) , center (category theory) , scattering , resolution (logic) , algorithm , drop out , computer science , materials science , physics , optics , artificial intelligence , chemistry , telecommunications , crystallography , economics , demographic economics

The scattering center extraction algorithm is a method to estimate the scattering center from the backscattered field. Superior scattering center extraction algorithms should be robust to noise, independent of the model order, and automatically and quickly operated. In this paper, we propose a novel super resolution scattering center extraction algorithm that satisfies the conditions mentioned above, which has been named the dimension reduced optimization problem (DROP). Using DROP, we determined a one-dimensional scattering center from a high resolution range profile and a two-dimensional scattering center from an inverse synthetic aperture radar image.

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