Abstract
This paper presents a fast phased array calibration method based on machine learning. The machine learning algorithm is constructed to model and predict the phase of the unmeasured array elements, which significantly reduce the number of the antenna elements under test. Experiment results show that the proposed method can reduce the number of measurements by 50% while maintaining a high level of precision.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
