Robust Low-Snapshot DOA Estimation for Sparse Arrays via a Hybrid Convolutional Graph Neural Network.

Zhu H, Zhao H, Bao C, Shi Y, He W

DOI: 10.3390/s25154563
Published: 2025 Jul 23
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s25154563,
  title = {Robust Low-Snapshot DOA Estimation for Sparse Arrays via a Hybrid Convolutional Graph Neural Network.},
  author = {Zhu H and Zhao H and Bao C and Shi Y and He W},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25154563},
  url = {https://doi.org/10.3390/s25154563}
}

RIS

TY  - JOUR
TI  - Robust Low-Snapshot DOA Estimation for Sparse Arrays via a Hybrid Convolutional Graph Neural Network.
AU  - Zhu H
AU  - Zhao H
AU  - Bao C
AU  - Shi Y
AU  - He W
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25154563
UR  - https://doi.org/10.3390/s25154563
ER  -

APA

H, Z., H, Z., C, B., Y, S., & W, H. (2025). Robust Low-Snapshot DOA Estimation for Sparse Arrays via a Hybrid Convolutional Graph Neural Network.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25154563

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pubmed · retrieved 2026-09-24T22:13:50.097Z