High-Frequency Skywave Source Geolocation Using Deep Learning-Based TDOA Estimation and Bias-Regularized Semidefinite Programming with Field Evaluation.
- DOI
- 10.3390/s26092755
- Published
- 2026 Apr 29
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26092755,
title = {High-Frequency Skywave Source Geolocation Using Deep Learning-Based TDOA Estimation and Bias-Regularized Semidefinite Programming with Field Evaluation.},
author = {Xu C and Ai H and He L and Hu C and Chen S and Li Z and Liu X},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26092755},
url = {https://doi.org/10.3390/s26092755}
}RIS
TY - JOUR TI - High-Frequency Skywave Source Geolocation Using Deep Learning-Based TDOA Estimation and Bias-Regularized Semidefinite Programming with Field Evaluation. AU - Xu C AU - Ai H AU - He L AU - Hu C AU - Chen S AU - Li Z AU - Liu X PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26092755 UR - https://doi.org/10.3390/s26092755 ER -
APA
C, X., H, A., L, H., C, H., S, C., Z, L., & X, L. (2026). High-Frequency Skywave Source Geolocation Using Deep Learning-Based TDOA Estimation and Bias-Regularized Semidefinite Programming with Field Evaluation.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26092755
Source records
- pubmed · retrieved 2026-09-25T13:39:54.640Z