Ed Sullivan is a Prometheus Inc. Principal Scientist. He is the author of numerous refereed publications, technical reports and book chapters in the fields of Acoustic Array processing, Model-Based and Matched-Field Processing, Synthetic Aperture Array Processing and propagation modeling. In his 30 years at the Naval Undersea Warfare Center, he performed research on torpedo self noise, conformal array simulation and beamforming, towed array processing and acoustic signal processing. Dr. Sullivan was the Associate Editor for Array Processing for The IEEE Journal of Oceanic Engineering for 9 years, his tenure ending in 1999. He is presently the Associate Editor for Acoustic Signal Processing for the Journal of the Acoustical Society of America. Also, between February 1985 and July 1988, Dr. Sullivan was the head of the Signal Processing Group at the SACLANT Undersea Research Centre in LaSpezia, Italy. In 1994, he received the IEEE OES Distinguished Technical Achievement Award. Dr. Sullivan is a fellow of both the IEEE and the Acoustical Society of America.
Ed Sullivan, has been involved with torpedos and signal processing for over thirty years. He began his career
in 1971 at NUSC (now NUWC), working on dynamic simulations of torpedo motion. He was also a team member involved in the design and testing of the first torpedo conformal array. This array was fabricated and installed on a unique low-drag torpedo body. His role was in developing the beamforming and shading algorithms. There were no existing algorithms for conformal arrays at the time. While at the SACLANT Centre, serving as the head of the Signal Processing Group, he performed research on towed-array processing, bispectral analysis, active sonar reverberation and matched-field processing. Dr. Sullivan's more recent studies have focused on the use of the Kalman filter as the basis for model-based processing as applied to passive ranging with propagation models, passive synthetic aperture towed array processing, both for bearing estimation and wavefront curvature ranging, in-situ sound speed estimation and detection in a noisy environment.
