| Paper ID | SAM-3.1 |
| Paper Title |
HYBRID ANALOG-DIGITAL MIMO RADAR RECEIVERS WITH BIT-LIMITED ADCS |
| Authors |
Feng Xi, Nanjing University of Science and Technology, China; Nir Shlezinger, Ben-Gurion University, Israel; Yonina C. Eldar, Weizmann Institute of Science, Israel |
| Session | SAM-3: MIMO Radar Array Processing |
| Location | Gather.Town |
| Session Time: | Wednesday, 09 June, 16:30 - 17:15 |
| Presentation Time: | Wednesday, 09 June, 16:30 - 17:15 |
| Presentation |
Poster
|
| Topic |
Sensor Array and Multichannel Signal Processing: [RAS-MIMO] MIMO Radar and waveform design |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| 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. |
