Radio Diversity Automation

Spring 2025 – Fall 2025

Group Members

John Crawford

Electrical Engineering

Jurgis Siusys

Computer Engineering

Kim Phan

Computer Engineering

Review Committee

Dr. Saleem Sahawneh

Electrical and Computer Engineering Dept.

Associate Professor
Dr. Qun Zhou Sun

Electrical and Computer Engineering Dept.

Associate Professor
Dr. Mike Borowczak

Electrical and Computer Engineering Dept.

Associate Professor
Dr. Mark Maddox

Electrical and Computer Engineering Dept.

Associate Professor

Project Documentation

Senior Design 2

Final Paper

SD2 Final Demo Video

SD2 Final Presentation (Video)

SD2 Final Presentation Slides

SD2 Conference Paper

SD2 CDR Presentation (Video)

SD2 CDR Slides

SD2 Midterm Demo

Senior Design 1 Archive

Divide and Conquer SD1

Midterm SD1

Final SD1

Mini Demo Video SD1

About the Project

Radio Diversity Automation is a senior design system developed to demonstrate reliable wireless communication using low-cost, commercially available hardware. The project originally began as a passive aircraft detection system, but after sponsor funding was pulled, the team pivoted to a new problem area: improving signal reliability in challenging RF environments.

Using one broadcast transmitter and three independent receiver nodes, the system performs real-time radio diversity, comparing SNR and RSSI across multiple antenna branches to automatically select the best link at any moment. The goal was to demonstrate measurable diversity gain using only COTS hardware instead of high-cost multi-input SDRs.

The system architecture, built from three Raspberry Pi receivers and a central Pi, supports wireless TCP audio streaming, per-branch DSP processing, and multi-mode decision logic (Manual, Threshold, Auto). This architecture is detailed in the Hardware Block Diagram and Software Block Diagram of the project.

Core testing, spatial, frequency, and time diversity, demonstrated consistent improvements in SNR, signal stability, and audio clarity. These results verify the benefits of diversity-based signal selection and highlight the scalability of this architecture for future work in localization and more advanced SDR platforms.

This project shows how adaptability, engineering rigor, and strong teamwork can transform constraints into a fully functional and meaningful RF communication system that is affordable, practical, and extensible.