Sonic Synchronicity: AI/ML-enabled joint sensing and communication using acoustics
Acoustic waves can be used to sense the environment in the way that bats and submarines use echoes from active sonar to localize themselves in an environment.
They are also the primary means of communication underwater between vehicles and devices, where Wi-Fi and other radio waves fail to work.
However, most of these systems are typically optimized for either sensing or communication as there are inherent tradeoffs between resolution, range, bandwidth, and power consumption that make joint optimization challenging.
This project aims to create new AI/ML algorithms that can simultaneously enable high-resolution sensing and robust communication that go beyond the performance of state of the art systems.
They are also the primary means of communication underwater between vehicles and devices, where Wi-Fi and other radio waves fail to work.
However, most of these systems are typically optimized for either sensing or communication as there are inherent tradeoffs between resolution, range, bandwidth, and power consumption that make joint optimization challenging.
This project aims to create new AI/ML algorithms that can simultaneously enable high-resolution sensing and robust communication that go beyond the performance of state of the art systems.