The paper presents HEAR, a dual‑task Transformer that learns to assess heartbeat observability from mmWave radar phase spectra and simultaneously estimates heart rate. Using a controllable FMCW simulator, the authors generate labeled data where observability is defined by the agreement between the dominant heartbeat‑band peak and the known heart rate. Trained only on simulated data, HEAR transfers zero‑shot to real‑world datasets at 60 and 120 GHz, enabling selective heart‑rate estimation that dramatically reduces error and achieves sub‑50 ms latency on edge hardware.
By Yuxuan Hu, Shilin Shan, Jianfei Yang, Feng Xu
arXiv:2608.30896v1 Announce Type: new
Abstract: Automotive mmWave radar can develop vibration, antenna misalignment, radome blockage, and receive-channel degradation that corrupt the signal before pe...
By Mainak Mallick, Junghwan Yim, Seung-Kyum Choi
arXiv:2608.28913v1 Announce Type: cross
Abstract: High-resolution 3D radar data is scarce. Commodity mmWave sensors use small antenna arrays that limit angular resolution to several degrees, and exis...
By Adnan Armouti, Yixuan Gao, Rajalakshmi Nandakumar
This study explores whether spatial structure can be learned directly from pre-beamforming per-antenna range-Doppler (RD) radar measurements, bypassing traditional beamforming steps. Using a 6‑TX × 8‑RX automotive radar with a chirp‑sequence FMCW transmit scheme, the authors train a dual‑chirp shared‑weight encoder on raw RD tensors and evaluate spatial recoverability via bird’s‑eye‑view occupancy maps. Experiments across different transmit configurations (A‑only, B‑only, A+B) and receive apertures demonstrate that meaningful spatial structure is indeed recoverable through learned spatial mixing, without hand‑crafted signal‑processing stages.
By George Sebastian, Philipp Berthold, Bianca Forkel, Leon Pohl, Mirko Maehlisch
arXiv:2608.11596v1 Announce Type: cross
Abstract: Modern radar systems require adapting their processing strategies in response to changing interference, clutter, and data availability. This paper in...
By Minhaj Uddin Ahmad, Zakia Zaman, Shunqiao Sun, Mizanur Rahman
arXiv:2609.24151v1 Announce Type: new
Abstract: Four-dimensional (4D) Radar has emerged as a key sensor for environmental perception, providing range, azimuth, elevation, and Doppler measurements whi...
By Seung-Hyun Song, Dong-Hee Paek, Seung-Hyun Kong