In this paper, we develop a novel structured Bayesian compressive sensing algorithm with
location dependence for high-resolution imaging in ultra-narrowband passive synthetic …

We present a novel image formation method for passive synthetic aperture radar (SAR)
imaging. The method is an alternative to widely used time difference of arrival (TDOA) or …

We consider synthetic aperture radar (SAR) imaging using ultranarrowband continuous
waveforms (CWs). Because of the high Doppler resolution of CW signals, we refer to this …

The recent success of deep learning has lead to growing interest in applying these methods
to signal processing problems. This paper explores the applications of deep learning to …

In the Part 1 of this two-part study, we present a method of imaging and velocity estimation of
ground moving targets using passive synthetic aperture radar. Such a system uses a …

Synthetic aperture radar (SAR) imaging methods are designed to image stationary scenes.
Moving targets appear smeared and misplaced in reconstructed SAR images. This paper …

We present a novel method for ground moving target imaging using a synthetic aperture
radar system transmitting ultranarrowband continuous waveforms (CW). Our method exploits …

Passive radar systems, which utilize broadcast and navigation signals as sources of
opportunity, have attracted significant interests in recent years due to their low cost …

We present a new passive imaging method for moving targets using a sparse array of
receivers and illumination sources of opportunity operating in multiple-scattering …

We consider a synthetic aperture radar (SAR) system that uses ultra-narrowband continuous
waveforms (CWs) as an illumination source. Such a system has many practical advantages …