Inverse Synthetic Aperture Radar (ISAR) is a well known technique which provides high-resolution radar images of moving targets. To obtain effective ISAR images, spatial resolutions should be small enough with respect to the target size. However, due to the bandwidth and Coherent Processing Interval (CPI) limitation achieving high enough spatial resolutions is a challenging task for existing radar imaging systems. This motivates the need for Super Resolution (SR) techniques. In this paper, a two-dimensional Compressive Sensing (CS) algorithm is investigated for the reconstruction of an ISAR image with enhanced spatial resolutions and tested on real data.
Super resolution ISAR imaging via Compressing Sensing
GIUSTI, ELISA;BACCI, ALESSIO;TOMEI, SONIA;MARTORELLA, MARCO
2014-01-01
Abstract
Inverse Synthetic Aperture Radar (ISAR) is a well known technique which provides high-resolution radar images of moving targets. To obtain effective ISAR images, spatial resolutions should be small enough with respect to the target size. However, due to the bandwidth and Coherent Processing Interval (CPI) limitation achieving high enough spatial resolutions is a challenging task for existing radar imaging systems. This motivates the need for Super Resolution (SR) techniques. In this paper, a two-dimensional Compressive Sensing (CS) algorithm is investigated for the reconstruction of an ISAR image with enhanced spatial resolutions and tested on real data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
