Autofocus technique for ISAR imaging of uniformly rotating targets based on the ExCoV method

The inverse synthetic aperture radar (ISAR) imaging can be converted into a sparse reconstruction problem and solved by the l1-norm minimization algorithm. The basis matrix in sparse ISAR imaging is usually characterized by the unknown rotation rate of a moving target, thus the rotation rate and the...

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Veröffentlicht in:	Journal of systems engineering and electronics 2017-04, Vol.28 (2), p.267-275
Hauptverfasser:	Chengguang Wu, Hongqiang Wang, Bin Deng, Yuliang Qin, Wuge Su
Format:	Artikel
Sprache:	eng
Schlagworte:	based error ExCoV expansion-compression imaging ISAR method phase rate reconstruction rotation sparse variance-component
Online-Zugang:	Volltext
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