29 citations · 70 across the 25 of their papers we have counts for
7 papers · 2 filters
Automotive Radar Sensing with Sparse Linear Arrays Using One-Bit Hankel Matrix Completion
Arian Eamaz, Farhang Yeganegi, Yunqiao Hu +2
The design of sparse linear arrays has proven instrumental in the implementation of cost-effective and efficient automotive radar systems for high-resolution imaging. This paper in…
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…
HDR Imaging With One-Bit Quantization
Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian
Modulo sampling and dithered one-bit quantization frameworks have emerged as promising solutions to overcome the limitations of traditional analog-to-digital converters (ADCs) and…
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…
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…