SAT FSS

Standardized Automated Testing of Frequency Selective Surfaces

Presenter: Daniel Greisen

Co-Presenter(s):
Joshua Paine, Jesus Gonzalez

Presenter Status: Undergraduate student

Academic Year: 20-21

Semester: Spring

Faculty Mentor: Mohamed Salem

Department: Engineering

Funding Source/Sponsor: Koret Scholars Program

President's Strategic Plan Goal: Adaptability and Responsiveness

Screenshot URL: https://drive.google.com/uc?id=15mPRc_2wiqPae1b0eSV17gPOdOBPliwh

Abstract:
We propose the design and implementation of a Standardized Automated Testing of Frequency Selective Surfaces (SAT FSS) platform which will consist of a single piece of equipment that will transmit and receive the RF or Microwave signals with the use of horn antennas. The FSS will be placed in an aperture of a screen surrounded by absorbing tiles which will be in between the receiving and transmitting antennas. The automation will come in the movement of the receiving antenna on a 2D array and the data collection as the equipment takes and records the measurements. In addition, our proposed platform will utilize a Machine Learning Algorithm based on a Kriging Surrogate Model to improve our overall measurement time and efficiency. Our product will be designed to obtain very precise measurements while being extremely efficient and being in a reasonable price range so it can satisfy the needs of an extensive number of markets. The limitation of our project would be to acquire and save these data precisely for researchers and companies to make the best use of it.