TY - GEN A1 - Kahlert, Moritz A1 - Xu, Lifan A1 - Fei, Tai A1 - Gardill, Markus A1 - Sun, Shunqiao T1 - High-resolution DOA estimation using single-snapshot music for automotive radar with Mixed-ADC allocations T2 - IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM), 08-11July 2024, Corvallis, OR, USA N2 - Fine direction of arrival (DOA) estimations are required for accurate target detections in automotive radar systems. To address this issue, most spectral estimation methods assume many snapshots of measurements. However, due to the dynamic nature of automotive scenarios, methods using multiple snapshots are impractical for DOA estimation in automotive radars. Furthermore, to relax the hardware requirements on modern automotive radar systems, mixed-analog-to-digital converter (ADC) allocations, i.e., the coexistence of 1-bit and high-resolution ADCs, have gained more attention recently. In this work, we introduce a high-resolution DOA estimation approach based on single-snapshot multiple signal classification (MUSIC) estimation and evaluate the performance with various ADC allocations. The results show that mixed-ADC allocations can perform comparably to high-resolution ADC allocations. Y1 - 2024 SN - 979-8-3503-4481-3 U6 - https://doi.org/10.1109/SAM60225.2024.10636418 SN - 2151-870X ER -