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Electrical Noise Location System

The project develops a Radio Frequency (RF) Noise Location System that identifies the Angle of Arrival (AoA) of AM frequency signals. It integrates a GUI that displays real-time incident RF information and employs noise sources for system testing. Utilizing a QT-400 RTLS system, the project employs a 2-loop antenna solution to resolve front-back ambiguity using a sense antenna. The central components include an AoA algorithm developed in C# and a waterfall plot for visualizing received RF data. Team members contributed through specific roles in GUI development, algorithm optimization, and noise source testing.

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Electrical Noise Location System

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  1. Electrical Noise Location System Drew Compston Brandon Denney Josh Gordon

  2. Background of Project • Identify Angle of Arrival of AM Frequency RF • Display Information about Incident RF in GUI • Build Noise Sources to Test System Noise Source Computer: Displays GUI and Calculates AoA Noise Receiver

  3. Q-Track Desires System for its QT-400 QT-400 is an RTLS using NFER Operates in AM Frequencies (Pictures from Q-Track User’s Guide Pamphlet, used with permission) Motivation

  4. Angle of Arrival Algorithm • Use 2 Loop Antennas to Create Virtual Loop

  5. Resolve Front-Back Ambiguity with Sense Antenna Angle of Arrival Algorithm

  6. Graphical User Interface • Written in C# • Display Received RF Information in Waterfall Plot • Calculate Angle of Arrival

  7. Graphical User Interface

  8. Project Responsibilities • Brandon • GUI Application • Integration with QT-400 • Drew • Angle of Arrival Algorithm • Josh • Test Noise Source Realized Using Noise Generator with Amplifier

  9. Cost

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