Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 11
Articles | Volume 19, issue 11
https://doi.org/10.5194/amt-19-3865-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-3865-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 11
Research article
 | 
12 Jun 2026
Research article |  | 12 Jun 2026

Estimation of Doppler velocity from incoherent scatter spectra using context-aware transformers

Yanlin Li and Qihou Zhou

Viewed

Total article views: 1,937 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,212 564 161 1,937 148 112
  • HTML: 1,212
  • PDF: 564
  • XML: 161
  • Total: 1,937
  • BibTeX: 148
  • EndNote: 112
Views and downloads (calculated since 30 Oct 2025)
Cumulative views and downloads (calculated since 30 Oct 2025)

Viewed (geographical distribution)

Total article views: 1,937 (including HTML, PDF, and XML) Thereof 1,937 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Jun 2026
Download
Short summary
We introduce a transformer-based AI model for estimating Doppler velocity from incoherent scatter radar (ISR) spectra. Inspired by Vision Transformers, the model uses a standard transformer encoder adapted for radar data. Trained solely on simulated spectra, it performs well on real data from the Arecibo radar and significantly outperforms the traditional least-squares fitting (LSF) method. This approach is potentially applicable wherever spectral data can be parameterized.
Read more
Share