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Compressive sensing‐based algorithm for one‐dimensional scattering center extraction
Author(s) -
Bae JiHoon,
Kang ByungSoo,
Yang Eunjung,
Kim KyungTae
Publication year - 2016
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.29818
Subject(s) - matching pursuit , scattering , compressed sensing , algorithm , radar , microwave , radar cross section , extraction (chemistry) , matching (statistics) , computer science , center (category theory) , mathematics , physics , optics , telecommunications , statistics , chemistry , chromatography , crystallography
This article proposes a one‐dimensional scattering center extraction (SCE) method that includes mainly two steps: coarse estimation of scattering centers using the iteratively reweighted least square (IRLS) coupled with a peak‐finding algorithm and fine estimation of scattering centers using the orthogonal matching pursuit (OMP) procedure from the adaptively sampled Fourier dictionary. Consequently, the proposed method can achieve high SCE accuracy regardless of whether data are missing in the collected radar‐cross‐section (RCS) dataset or not. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:1408–1415, 2016