DVTEST & Anteligen Antenna Characterization On Demand Webinar


DVTEST & Anteligen Antenna Characterization On Demand Webinar

The webinar explores the many features of Anteligen SignalShape software, how it is used, and the full DVTEST OTA measurement setup. The SignalShape platform allows you to explore the amplitude and phase of the measured near-field data over different angles. Perform near-field to far-field transformations by having near-field and very-near-field data, calculate, and compare far-field characteristics of your device under test. The presentation also includes a demonstration of Anteligen's Adaptive sampling algorithm and process of near-field to far-field transformation.

About the Presenter

Rezvan Rafiee Alavi

Rezvan Rafiee Alavi, Postdoctoral Research Fellow at University of Alberta and DVTEST Inc.

Rezvan Rafiee Alavi (M’17) received the B.Sc. degree from the University of Tehran in 2009, in electrical engineering, and M.Sc. degree from Iran University of Science and Technology, in 2013, in telecommunication, fields and waves, and Ph.D. from University of Alberta, in 2019. Currently, she is a postdoctoral research fellow with the Intelligent Wireless Technology Laboratory (IWT), University of Alberta, and DVTEST. Inc. She is also a cofounder of Anteligen Company. She has authored more than 20 papers published in refereed journals and conferences proceedings and also three patents during her Ph.D. and postdoctoral research. Dr. Alavi was a recipient of Mary Louise Imrie Graduate Student Award, honorable mention award in APS/URSI student paper competition (2019). Her research interests include antenna and propagation, passive and active microwave circuits, numerical methods in electromagnetics, inverse electromagnetic scattering, remote sensing, antenna and over the air (OTA) measurements, and the application of machine learning and artificial intelligence in antenna measurement and fault detection of antennas and microwave circuits.