activity
20132023
most citedDeep Learning for Passive Synthetic Aperture Radar

63 citations · 161 across the 15 of their papers we have counts for

collaborators

15 papers

eess.SP2023

Deep Denoising Prior-Based Spectral Estimation for Phaseless Synthetic Aperture Radar

Samia Kazemi, Bariscan Yonel, Birsen Yazici

Incoherent processing for synthetic aperture radar (SAR) is a promising approach that enables low implementation costs, simplified hardware designs and operations in high frequency…

eess.SP2022

Interferometric Passive Radar Imaging with Deep Denoising Priors

Samia Kazemi, Bariscan Yonel, Birsen Yazici

Passive radar has key advantages over its active counterpart in terms of cost and stealth. In this paper, we address passive radar imaging problem by interferometric inversion usin…

eess.SP2022★ 3 cited

Robust Phase Retrieval via Reverse Kullback-Leibler Divergence

Nazia Afroz Choudhury, Bariscan Yonel, Birsen Yazici

Robustness to noise and outliers is a desirable trait in phase retrieval algorithms for many applications in imaging and signal processing. In this paper, we develop novel robust p…

eess.SP2021★ 8 cited

Unrolled Wirtinger Flow with Deep Decoding Priors for Phaseless Imaging

Samia Kazemi, Bariscan Yonel, Birsen Yazici

We introduce a deep learning (DL) based network and an associated exact recovery theory for imaging from intensity-only measurements. The network architecture uses a recurrent stru…

eess.IV2021★ 6 cited

Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization

Sean Thammakhoune, Bariscan Yonel, Eric Mason +2

In this paper, we present an approach for ground moving target imaging (GMTI) and velocity recovery using synthetic aperture radar. We formulate the GMTI problem as the recovery of…

eess.SP2020

A Spectral Estimation Framework for Phase Retrieval via Bregman Divergence Minimization

Bariscan Yonel, Birsen Yazici

In this paper, we develop a novel framework to optimally design spectral estimators for phase retrieval given measurements realized from an arbitrary model. We begin by deconstruct…

cs.IT2020★ 19 cited

A Deterministic Theory for Exact Non-Convex Phase Retrieval

Bariscan Yonel, Birsen Yazici

In this paper, we analyze the non-convex framework of Wirtinger Flow (WF) for phase retrieval and identify a novel sufficient condition for universal exact recovery through the len…

eess.SP2019★ 21 cited

Exact Imaging of Extended Targets Using Multistatic Interferometric Measurements

Bariscan Yonel, Il-Young Son, Birsen Yazici

In this paper, we present a novel approach that can exactly recover extended targets in wave-based multistatic interferometric imaging, based on Generalized Wirtinger Flow (GWF) th…

eess.SP2019★ 18 cited

A Generalization of Wirtinger Flow for Exact Interferometric Inversion

Bariscan Yonel, Birsen Yazici

Interferometric inversion involves recovery of a signal from cross-correlations of its linear transformations. A close relative of interferometric inversion is the generalized phas…

eess.SP2018★ 13 cited

Deep Learning for Waveform Estimation and Imaging in Passive Radar

Bariscan Yonel, Eric Mason, Birsen Yazici

We consider a bistatic configuration with a stationary transmitter transmitting unknown waveforms of opportunity and a moving receiver, and present a Deep Learning (DL) framework f…

cs.CE2017★ 2 cited

Performance Analysis of Convex LRMR based Passive SAR Imaging

Eric Mason, Birsen Yazici

Passive synthetic aperture radar (SAR) uses existing signals of opportunity such as communication and broadcasting signals. In our prior work, we have developed a low-rank matrix r…

cs.CV2017★ 63 cited

Deep Learning for Passive Synthetic Aperture Radar

Bariscan Yonel, Eric Mason, Birsen Yazıcı

We introduce a deep learning (DL) framework for inverse problems in imaging, and demonstrate the advantages and applicability of this approach in passive synthetic aperture radar (…

cs.CE2017★ 1 cited

Passive Polarimetric Multistatic Radar Detection of Moving Targets

Il-Young Son, Birsen Yazici

We study the exploitation of polarimetric diversity in passive multistatic radar for detecting moving targets. We first derive a data model that takes into account polarization and…

cs.CE2017★ 7 cited

Doppler Synthetic Aperture Radar Interferometry: A Novel SAR Interferometry for Height Mapping using Ultra-Narrowband Waveforms

Birsen Yazici, Il-Young Son, H. Cagri Yanik

This paper introduces a new and novel radar interferometry based on Doppler synthetic aperture radar (Doppler-SAR) paradigm. Conventional SAR interferometry relies on wideband tran…

physics.ins-det2013

Bistatic Synthetic Aperture Radar Imaging of Moving Targets using Ultra-Narrowband Continuous Waveforms

Ling Wang, Birsen Yazici

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