Open AccessParameter-Refined OMP for Compressive Radar Imaging of Rotating Targets
Author(s) -
Ngoc Hung Nguyen,
Kutluyıl Doğançay,
HaiTan Tran,
Paul E. Berry
Publication year - 2019
Publication title -
ieee transactions on aerospace and electronic systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.137
H-Index - 144
eISSN - 1557-9603
pISSN - 0018-9251
DOI - 10.1109/taes.2019.2909791
Subject(s) - radar imaging , radar , radar tracker , inverse synthetic aperture radar , compressed sensing , remote sensing , computer science , physics , computer vision , acoustics , artificial intelligence , geology , telecommunications
This paper presents a new parameter-refined orthogonal matching pursuit method to tackle the dictionary mismatch problem arising in compressive radar imaging of a rotating target with off-grid scatterers. The main idea is to replace the linear least-squares projection step of the conventional orthogonal matching pursuit (OMP) method with a nonlinear least-squares procedure which jointly estimates ...
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