My primary research interests are in the theory of digital communications and signal processing, with focus on system design and performance analysis for time-varying channels. Such channels are found in many wireless communication systems, such as mobile terrestrial systems and satellite systems. My research has a particular focus on underwater wireless (acoustic) communications.

The major problem encountered on underwater acoustic channels is that the system bandwidth is limited, while the low speed of sound (1500 m/s in water) and time-varying multipath propagation cause extreme signal distortion. Acoustic signals also suffer from attenuation that depends not only on the distance, but also on the signal frequency. Together, these facts result in a communication medium that combines the worst of radio worlds: poor link quality of a terrestrial system, and high latency of a satellite system. As a result, acoustic communication system design poses many challenging problems.

At present, I work on several problems in this area, ranging from statistical channel characterization to adaptive signal processing, network design and optimization. Examples of my current research projects include detection methods for multi-carrier signals transmitted over severely Doppler-distorted channels, networks of autonomous underwater vehicles (AUVs), data gathering in band-limited sensor networks and reconstruction of the underlying field from limited observations. I also work closely with the scientists and engineers at the Woods Hole Oceanographic Institution, and participate in the development of the WHOI micro-modem.

Acoustic Channel Simulator

The simulator generates a series of channel impulse responses for a given time-varying underwater acoustic channel geometry. It addresses the effects of multipath, rough surface scattering, motion-induced Doppler, and large-scale channel variation.