Cognitive HF Radio With Tuned Compact Antenna

Technology #ua16-160

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Categories
Researchers
Min Liang
Postdoctoral Resarch Associate I, Electrical and Computer Engr
Ahmed Abdelrahman
Postdoctoral Research Associate I, ECE
Hamed Asadi
Graduate Assistant, Electrical and Computer Engineering
Michael Marefat
Associate Professor, Electrical & Computer Engineering
Hao Xin
Professor, Electrical & Computer Engineering
Tamal Bose
Professor & Department Head, Electrical & Computer Engineering
Managed By
Robert Sleeper
Licensing Manager (520) 626-4604

Title: Cognitive HF Radio with Tuned Compact Antenna

 

Invention: This invention is a high frequency (HF) radio with a compact and highly configurable antenna with the ability to overcome interference by changes in the ionosphere. This antenna utilizes machine learning and optimization methods to adjust to the environment.

 

Background: Long-distance HF communication relies on ionospheric reflections, especially from the “F” layer. The problem with HF communication is that propagation via the ionosphere can be very unreliable. In addition, within the HF frequency band, different frequencies have different propagation characteristics via the ionosphere. This novel technology unifies the ideal characteristics of a radio.

 

Applications:

  • Communication in extreme environments where radio frequency (RF) communication is not sufficient
  • Military communication
  • Potential for adoption in deep-sea communication to adjust to different pressures, light sources, etc.
  • Potential for use as a reliable, unobtrusive intercom system

 

Advantages:

  • Provides long-range reliable HF communication under highly dynamic channel environments
  • Versatile in configuration of the radio
  • Uses intelligent programming, like optimization and machine learning, to configure it’s digital aspect
  • Allows for easy implementation of updates in machine learning and optimization

 

Licensing Manager:

Bob Sleeper

RobertS@tla.arizona.edu

(520) 626-4604