In this project, we will perform research on low-probability of detection underwater acoustic communication. We will consider using data driven approaches (i.e. machine learning models) for detecting anomalies that indicate the presence of a signal. This is theoretical and simulation-based research. Solid backgrounds in signal processing, data communications, and machine learning are required. |