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20222026
most citedCramer-Rao Lower Bound Optimization for Hidden Moving Target Sensing via Multi-IRS-Aided Radar

29 citations · 86 across the 25 of their papers we have counts for

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Showing 2023 · eess.SPShow all

5 papers · 2 filters

eess.SP2023

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…

eess.SP2023

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…

eess.SP2023

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…

eess.SP2023

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…

eess.SP2023

Near-Field Low-WISL Unimodular Waveform Design for Terahertz Automotive Radar

Arian Eamaz, Farhang Yeganegi, Kumar Vijay Mishra +1

Conventional sensing applications rely on electromagnetic far-field channel models with plane wave propagation. However, recent ultra-short-range automotive radar applications at u…