EE/CSE - Wireless Institute RadioHound Spectrum Sensing Network
New wireless systems and networks are popping up everywhere to enable new applications and keep more people and devices connected. However, most of this technology is unseen - from the wireless transmitters that are often intentionally obscured in an area to the invisible radio frequency (RF) signals traveling all around us. These circumstances make regulating and protecting the RF spectrum challenging for governments and stakeholders.
The Wireless Institute at Notre Dame has created the RadioHound platform - a distributed and pervasive network of low-cost sensors to monitor, visualize, and analyze the RF spectrum. We are seeking undergraduate researchers to help develop new hardware and software features for the RadioHound platform, as well as collaborate with our team to collect measurements and demonstrate the platform.
Project areas include, but are not limited to: software-defined radio (SDR) and embedded system design, AI/ML algorithm development for signal processing and radio mapping, frontend/backend development, and edge-computing. Current project directions include:
- High-speed digital data acquisition (looking toward FPGAs)
- Campus-wide spectrum sensor deployment
- Campus-wide radio mapping neural network development
- 9 GHz SDR design, schematic capture, and PCB layout
- RadioHound Software-Defined Experiment Python module
More ideas are always welcome!
Wireless systems are ubiquitous in the world and understanding the technology behind them is indispensable. The Wireless Institute and Laneman Research Group provide an environment for interested students to engage with modern wireless systems and research. As an institute, we cover a wide range of fields from biomedical devices to high frequency circuits. Particularly in Prof. Laneman’s Group, we focus on wireless communication and sensing.
This STRAND project focuses on the RadioHound spectrum sensing platform - a platform for collecting, processing, and visualizing wireless data collected from an IoT network of spectrum sensors. Students will contribute to developing the platform in a multitude of ways including, but not limited to: front/backend development, hardware design, signal processing, and AI/ML algorithm development. Students will also get hands-on RF lab experience, a better understanding of wireless systems, and experience working in a team environment.