Chaotic Detector to Identify Weak Signals in the Presence of Gaussian Noise

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IEEE Atlanta Communications Society Chapter presents:

Dr. John Shields of GTRI who will be giving a brief talk on Chaotic Detectors. Please register at https://events.vtools.ieee.org/m/177203.

 

Brief Summary of the talk:

The detection of very weak signals in the presence of background noise is a challenge of significant
interest for many radar, sonar, and communications applications. Standard tools such as the Matched
Filter perform poorly when the signal-to-noise ratio (SNR) is less than about -10 or -20 dB. Therefore,
the detection of these low SNR signals requires the development of more sophisticated signal processing
techniques.


The chaotic detector is a non-linear detector that is designed to couple to a weak signal of a given
frequency, while (in principle) remaining immune to the background noise. In particular, the non-linear
Duffing Equation, which describes the motion of a damped, driven harmonic oscillator, has proven to be
exceptionally well-suited to the detection of weak sinusoidal signals with SNR less than -30 dB.


This presentation will discuss the design, performance, and limitations of multiple implementations
of Duffing detectors.

 

Please email syed.tamseel@ieee.org with further questions and see below for the event day instructions:

 

On the day of the event:

1. Lunch is served.

2. Parking is available in the parking deck next to the GTRI conference center building. Simply pull up in front of the gate and it should lift up. Please park in the visitor spaces available on the 2nd floor of the parking deck. For further assistance with parking, please email Reggie Ratcliff at Reggie.Ratcliff@gtri.gatech.edu.

 



  Date and Time

  Location

  Hosts

  Registration



  • 250 14th St NW
  • Atlanta, Georgia
  • United States 30318

Staticmap?size=250x200&sensor=false&zoom=14&markers=33.7856197%2c 84
  • Starts 12 September 2018 06:00 PM
  • Ends 10 October 2018 11:30 PM
  • All times are US/Eastern
  • No Admission Charge
  • Register


  Speakers

Dr. John Shields of GTRI

Topic:

Chaotic Detector to Identify Weak Signals in the Presence of Gaussian Noise

The detection of very weak signals in the presence of background noise is a challenge of significant
interest for many radar, sonar, and communications applications. Standard tools such as the Matched
Filter perform poorly when the signal-to-noise ratio (SNR) is less than about -10 or -20 dB. Therefore,
the detection of these low SNR signals requires the development of more sophisticated signal processing
techniques.


The chaotic detector is a non-linear detector that is designed to couple to a weak signal of a given
frequency, while (in principle) remaining immune to the background noise. In particular, the non-linear
Duffing Equation, which describes the motion of a damped, driven harmonic oscillator, has proven to be
exceptionally well-suited to the detection of weak sinusoidal signals with SNR less than -30 dB.


This presentation will discuss the design, performance, and limitations of multiple implementations
of Duffing detectors.

Biography:

Dr. John Shields received his PhD in High Energy Physics from the University of Virginia in
2004. Shortly thereafter, he was awarded a competitive U.S. Department of Energy Fusion Energy
Sciences Postdoctoral Fellowship to simulate optical diagnostic tools for plasmas in the Compact
Toroidal Hybrid plasma experiment at Auburn University.


Dr. Shields joined the GTRI Advanced Concepts Laboratory in 2007 and initially focused his
research on the computational simulation of plasmas and electromagnetic materials. His work has
included modeling atmospheric plasmas, photonic and phononic crystals, and high power microwave
sources. More recently, his interests have shifted to applications of statistical signal processing and
machine learning to electronic warfare, particularly in the area of adaptive Doppler radar.