Physical-Model-Driven Compressive Sensing for High-Precision Off-Grid Multi-Target UAV Localization
- DOI
- 10.23919/icn.2026.0016
- Published
- 2026-09
- Container
- Intelligent and Converged Networks
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.23919/icn.2026.0016,
title = {Physical-Model-Driven Compressive Sensing for High-Precision Off-Grid Multi-Target UAV Localization},
author = {Xiao Huang and Sicong Liu and Lingyu Chen and Ao Peng and Jianghong Shi and Zhu Han},
year = {2026},
journal = {Intelligent and Converged Networks},
doi = {10.23919/icn.2026.0016},
url = {https://doi.org/10.23919/icn.2026.0016}
}RIS
TY - JOUR TI - Physical-Model-Driven Compressive Sensing for High-Precision Off-Grid Multi-Target UAV Localization AU - Xiao Huang AU - Sicong Liu AU - Lingyu Chen AU - Ao Peng AU - Jianghong Shi AU - Zhu Han PY - 2026 JO - Intelligent and Converged Networks DO - 10.23919/icn.2026.0016 UR - https://doi.org/10.23919/icn.2026.0016 ER -
APA
Huang, X., Liu, S., Chen, L., Peng, A., Shi, J., & Han, Z. (2026). Physical-Model-Driven Compressive Sensing for High-Precision Off-Grid Multi-Target UAV Localization. Intelligent and Converged Networks. https://doi.org/10.23919/icn.2026.0016
Source records
- crossref · retrieved 2026-11-10T09:34:27.352Z