BiLiMO: Bit-Limited MIMO Radar via Task-Based Quantization

Recent years have witnessed growing interest in reduced cost radar systems operating with low power. Multiple-input multiple-output (MIMO) technology is known to achieve high performance sensing by probing multiple orthogonal waveforms. However, implementing a power MIMO challenging. One of the reasons for this difficulty stems from increased and consumption required analog-to-digital convertors (ADCs) acquiring waveforms at receiver. In work we study receivers restricted operate resolution ADCs. We design bit-limited (BiLiMO) which are capable accurately recovering their targets while under strict constraints. This achieved applying an additional analog filter acquired waveforms, designing overall hybrid analog-digital system facilitate target identification using task-based quantization methods. particular, exploit fact that parameters can be recovered compressed representation received thus tune acquisition recover minimal distortion, extracted digital, characterize achievable error identifying targets. Our numerical results demonstrate proposed BiLiMO receiver bit budget one per sample achieves recovery approaches costly radars unlimited ADCs, substantially outperforming only digital domain same limitations.