@inproceedings{154dffc6b40d4772a5e61e9938e0f519,
title = "Hybrid Analog-Digital MIMO Radar Receivers with Bit-Limited ADCs",
abstract = "Multiple-input multiple-output (MIMO) radar is known to achieve high performance by probing with multiple orthogonal waveforms. However, implementing a low cost low power MIMO radar is challenging. In this work we study reduced cost MIMO radar receivers restricted to operate with low resolution ADCs. A hybrid analog-digital architecture, referred to as bit-limited MIMO radar (BiLiMO) receivers, which are capable of accurately recovering their targets while operating under strict resolution constraints is designed. This is achieved by applying an additional analog filter to the acquired waveforms, and designing the overall hybrid analog-digital system to facilitate target identification using task-based quantization methods. Our numerical results demonstrate that the proposed BiLiMO receiver operating with strict bit budget achieves target recovery performance which approaches that of costly MIMO radars operating with unlimited resolution ADCs.",
keywords = "Mimo radar, Task-based quantization",
author = "Feng Xi and Nir Shlezinger and Eldar, \{Yonina C.\}",
note = "Publisher Copyright: {\textcopyright}2021 IEEE.; 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 ; Conference date: 06-06-2021 Through 11-06-2021",
year = "2021",
month = jan,
day = "1",
doi = "10.1109/ICASSP39728.2021.9413749",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "4405--4409",
booktitle = "2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 - Proceedings",
address = "United States",
}