29 citations · 67 across the 10 of their papers we have counts for
10 papers
Submodular Optimization for Placement of Intelligent Reflecting Surfaces in Sensing Systems
Zahra Esmaeilbeig, Kumar Vijay Mishra, Arian Eamaz +1
Intelligent reflecting surfaces (IRS) and their optimal deployment are the new technological frontier in sensing applications. Recently, IRS have demonstrated potential in advancin…
Space-Time Adaptive Processing for radars in Connected and Automated Vehicular Platoons
Zahra Esmaeilbeig, Kumar Vijay Mishra, Mojtaba Soltanalian
In this study, we develop a holistic framework for space-time adaptive processing (STAP) in connected and automated vehicle (CAV) radar systems. We investigate a CAV system consist…
Deep Learning Meets Adaptive Filtering: A Stein's Unbiased Risk Estimator Approach
Zahra Esmaeilbeig, Mojtaba Soltanalian
This paper revisits two prominent adaptive filtering algorithms, namely recursive least squares (RLS) and equivariant adaptive source separation (EASI), through the lens of algorit…
Mutual Interference Mitigation in PMCW Automotive Radar
Zahra Esmaeilbeig, Arindam Bose, Mojtaba Soltanalian
This paper addresses the challenge of mutual interference in phase-modulated continuous wave (PMCW) millimeter-wave (mmWave) automotive radar systems. The increasing demand for adv…
Moving Target Detection via Multi-IRS-Aided OFDM Radar
Zahra Esmaeilbeig, Arian Eamaz, Kumar Vijay Mishra +1
An intelligent reflecting surface (IRS) consists of passive reflective elements capable of altering impinging waveforms. The IRS-aided radar systems have recently been shown to imp…
Quantized Phase-Shift Design of Active IRS for Integrated Sensing and Communications
Zahra Esmaeilbeig, Arian Eamaz, Kumar Vijay Mishra +1
Integrated sensing and communications (ISAC) is a spectrum-sharing paradigm that allows different users to jointly utilize and access the crowded electromagnetic spectrum. In this…
Cramer-Rao Lower Bound Optimization for Hidden Moving Target Sensing via Multi-IRS-Aided Radar
Zahra Esmaeilbeig, Kumar Vijay Mishra, Arian Eamaz +1
Intelligent reflecting surface (IRS) is a rapidly emerging paradigm to enable non-line-of-sight (NLoS) wireless transmission. In this paper, we focus on IRS-aided radar estimation…
Joint Waveform and Passive Beamformer Design in Multi-IRS-Aided Radar
Zahra Esmaeilbeig, Arian Eamaz, Kumar Vijay Mishra +1
Intelligent reflecting surface (IRS) technology has recently attracted a significant interest in non-light-of-sight radar remote sensing. Prior works have largely focused on design…
IRS-Aided Radar: Enhanced Target Parameter Estimation via Intelligent Reflecting Surfaces
Zahra Esmaeilbeig, Kumar Vijay Mishra, Mojtaba Soltanalian
The intelligent reflecting surface (IRS) technology has recently attracted a lot of interest in wireless communications research. An IRS consists of passive reflective elements cap…
Deep-RLS: A Model-Inspired Deep Learning Approach to Nonlinear PCA
Zahra Esmaeilbeig, Shahin Khobahi, Mojtaba Soltanalian
In this work, we consider the application of model-based deep learning in nonlinear principal component analysis (PCA). Inspired by the deep unfolding methodology, we propose a tas…