Akademik Veri Yönetim Sistemi
JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, cilt.28, sa.10, ss.1236-1245, 2014 (SCI-Expanded)
In this paper, performance efficiency analysis of compressive inverse synthetic aperture radar (ISAR) imaging for a complex, electrically large target is presented. In this context, physical optics (PO) is used as a high-frequency scattered field prediction technique and compressive sensing (CS) theory is applied to ISAR imaging by exploiting the sparse point scatterer structure of the target. Results prove that CS provides high resolution and accuracy in ISAR imaging even under the Nyquist sampling rate and linearly decreases computational time.