RIME-Net: A Physics-Guided Unpaired Learning Framework for Automotive Radar Interference Mitigation and Weak Target Enhancement

Jiajia Shi, Haojie Zhou, Liu Chu, Fengling Tan, Guocheng Sun, Yu Tao

Open source

DOI: 10.3390/s26041277
Published: 2026-02-15
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26041277,
  title = {RIME-Net: A Physics-Guided Unpaired Learning Framework for Automotive Radar Interference Mitigation and Weak Target Enhancement},
  author = {Jiajia Shi and Haojie Zhou and Liu Chu and Fengling Tan and Guocheng Sun and Yu Tao},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26041277},
  url = {https://doi.org/10.3390/s26041277}
}

RIS

TY  - JOUR
TI  - RIME-Net: A Physics-Guided Unpaired Learning Framework for Automotive Radar Interference Mitigation and Weak Target Enhancement
AU  - Jiajia Shi
AU  - Haojie Zhou
AU  - Liu Chu
AU  - Fengling Tan
AU  - Guocheng Sun
AU  - Yu Tao
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26041277
UR  - https://doi.org/10.3390/s26041277
ER  -

APA

Shi, J., Zhou, H., Chu, L., Tan, F., Sun, G., & Tao, Y. (2026). RIME-Net: A Physics-Guided Unpaired Learning Framework for Automotive Radar Interference Mitigation and Weak Target Enhancement. Sensors. https://doi.org/10.3390/s26041277

Source records

crossref · retrieved 2026-11-10T08:03:04.869Z