The applicability of compressive sensing (CS) to inverse synthetic aperture radar (ISAR)
imagery has been widely discussed over the past few years. In particular, CS-based ISAR …

The applicability of compressive sensing (CS) to radar imaging has been recently proven
and its capability to construct reliable radar images from a limited set of measurements …

The applicability of interferometric inverse synthetic aperture radar (InISAR) techniques to
images reconstructed via compressive sensing (CS)‐based algorithms is investigated …

The linear time‐varying frequency errors (LTFE) caused by the mismatch of transmitter and
receiver oscillators can defocus the imaging result of distributed inverse synthetic aperture …

Development of radar signal processing is still emerging until this age including its capability
to detect targets. In this paper, spatial compressive beamforming (SCB) method based on …

Abstract The applicability of Compressive Sensing (CS) to radar imaging has been recently
proven and its capability to construct reliable radar images from a limited set of …

We investigate a framework for coherent multiple input multiple output (MIMO) radar imaging
using frequency modulated continuous wave (FMCW). The structure of the FMCW signal …

This chapter provides a common framework for the application of compressive sensing (CS)
to inverse synthetic aperture radar (ISAR) imaging. Specifically, it provides an ISAR signal …

This Thesis discusses the use of super-resolution techniques applied for monostatic and
bistatic radar imaging. ISAR and Bistatic ISAR theory is recalled and further considerations …