BiLiMO: Bit-Limited MIMO Radar via Task-Based Quantization
Feng Xi, Nir Shlezinger, Yonina C. Eldar

TL;DR
This paper introduces BiLiMO, a low-cost MIMO radar system that uses low-resolution ADCs and task-based quantization to accurately detect targets, significantly reducing power and cost while maintaining high performance.
Contribution
It proposes a novel hybrid analog-digital receiver design with task-based quantization for low-resolution MIMO radar, enabling effective target detection with minimal bit resolution.
Findings
Achieves near-unlimited resolution radar performance with only 1-bit ADCs.
Outperforms digital-only low-bit MIMO radar systems.
Demonstrates effective target recovery with minimal quantization.
Abstract
Recent years have witnessed growing interest in reduced cost radar systems operating with low power. Multiple-input multiple-output (MIMO) radar technology is known to achieve high performance sensing by probing with multiple orthogonal waveforms. However, implementing a low cost low power MIMO radar is challenging. One of the reasons for this difficulty stems from the increased cost and power consumption required by analog-to-digital convertors (ADCs) in acquiring the multiple waveforms at the radar receiver. In this work we study reduced cost MIMO radar receivers restricted to operate with low resolution ADCs. We design bit-limited MIMO radar (BiLiMO) receivers which are capable of accurately recovering their targets while operating under strict resolution constraints. This is achieved by applying an additional analog filter to the acquired waveforms, and designing the overall hybrid…
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