Comparison of Deep-Learning Models for Rf Array Calibration in the Presence of Phase Jitter

Authors

• Richard L. Washington, Air Force Institute of Technology
• Michael A. Saville, Air Force Institute of Technology
• Richard K. Martin, Air Force Institute of Technology
• Matthew L. Rustad, Air Force Research Laboratory
• Nivia Colon-Diaz, Air Force Research Laboratory

Document Type

Conference Proceeding

Publication Date

7-12-2026

Comments

Co-author Richard Washington was an AFIT PhD candidate at the time of this conference.

The full conference paper is available via subscription or purchase, using the DOI link below.

DOI

10.1109/AP-S/USNC-URSI60190.2026.11675654

Source Publication

2026 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/USNC-URSI)

Recommended Citation

R. L. Washington, M. A. Saville, R. K. Martin, M. L. Rustad and N. Colon-Diaz, "Comparison of Deep-Learning Models for Rf Array Calibration in the Presence of Phase Jitter," 2026 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/USNC-URSI), Detroit, MI, USA, 2026, pp. 1381-1384, doi: 10.1109/AP-S/USNC-URSI60190.2026.11675654.