
Super‐resolution ISAR imaging via 2D unitary ESPRIT
Author(s) -
Wang Xin,
Zhang Min,
Zhao Jia
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2014.3518
Subject(s) - inverse synthetic aperture radar , smoothing , radar imaging , unitary state , snapshot (computer storage) , computer science , computer vision , image resolution , synthetic aperture radar , radar , algorithm , artificial intelligence , unitary transformation , physics , telecommunications , quantum mechanics , quantum , political science , law , operating system
A novel method employing two‐dimensional (2D) unitary ESPRIT and a spatial smoothing technique is proposed for super‐resolution ISAR imaging. The spatial smoothing technique is employed to resolve the contradiction that 2D unitary ESPRIT requests multiple snapshots; however, in radar imaging applications only one snapshot of the radar data are available. Experimental results are presented to verify the high resolution and feasibility of the proposed imaging algorithm in ISAR imaging.