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.
| Original language | American English |
|---|---|
| Pages (from-to) | 4405-4409 |
| Number of pages | 5 |
| Journal | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing |
| Volume | 2021-June |
| DOIs | |
| State | Published - 1 Jan 2021 |
| Event | 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 - Virtual, Toronto, Canada Duration: 6 Jun 2021 → 11 Jun 2021 |
Keywords
- Mimo radar
- Task-based quantization
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering
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