2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Redefining Automotive Radar Imaging: A Domain-Informed 1D Deep Learning Approach for High-Resolution and Efficient Performance
Ruxin Zheng, Shunqiao Sun, Holger Caesar +2
Millimeter-wave (mmWave) radars are indispensable for perception tasks of autonomous vehicles, thanks to their resilience in challenging weather conditions. Yet, their deployment i…
eess.SP2024★ 2 cited
Antenna Failure Resilience: Deep Learning-Enabled Robust DOA Estimation with Single Snapshot Sparse Arrays
Ruxin Zheng, Shunqiao Sun, Hongshan Liu +3
Recent advancements in Deep Learning (DL) for Direction of Arrival (DOA) estimation have highlighted its superiority over traditional methods, offering faster inference, enhanced s…
eess.SP2023
Interpretable and Efficient Beamforming-Based Deep Learning for Single Snapshot DOA Estimation
Ruxin Zheng, Shunqiao Sun, Hongshan Liu +2
We introduce an interpretable deep learning approach for direction of arrival (DOA) estimation with a single snapshot. Classical subspace-based methods like MUSIC and ESPRIT use sp…