Testing Wave Chaos Statistical Predictions in Scaled Electromagnetic Cavities

ORAL

Abstract

Predicting the induced voltage at locations inside a complex enclosure subject to an incident electromagnetic wave is a focus in many fields such as electromagnetic compatibility and telecommunication. Real life enclosures are usually ray-chaotic and the exact solution of the fields heavily depends on the geometry details and is very sensitive to small changes. Thus a statistical approach is more appropriate. Random Coupling Model (RCM) predicts the statistical properties of the waves inside a ray-chaotic enclosure, which has been widely discussed and accepted. Testing RCM in a network of cavities coupled through apertures is a new frontier of RCM but is difficult to demonstrate in experiment due to the size of the large structures. Here we present a novel scaled cavity experimental setup to study the statistical properties of waves in a network of cavities connected by apertures. We scale down the structure to a manageable size, then scale up the frequency and the conductivity of the walls so that the normalized loss is the same compared to the full-size structure. Our current setup can host a scaled-down cubic volume with 450 wavelengths on each dimension, equivalent to a house in full scale. We present the experimental setup and some studies on a single scaled cavity, which is the first step towards more complicated networks.

*This work is supported by ONR under Grant No. N000141512134, AFOSR under COE Grant FA9550-15-1-0171, and the Maryland Center for Nanophysics and Advanced Materials.

Authors

  • Bo Xiao

    • Univ of Maryland-College Park
  • Thomas Antonsen

    • Univ of Maryland-College Park
  • Edward Ott

    • ECE and Physics Departments, University of Maryland, College Park
    • Univ of Maryland-College Park
  • Zachary Drikas

    • U.S. Naval Research Laboratory
  • Jesus Gil Gil

    • U.S. Naval Research Laboratory
  • Steven Anlage

    • ECE and Physics Departments, University of Maryland, College Park
    • Univ of Maryland-College Park