Laboratory for Intelligent Systems and Controls at Duke University

Laboratory for Intelligent Systems and Controls Adaptive Sensor Management for Sonar Sensor Networks Sponsored by Office of Naval Research Young Investigator Program Principal Investigator: Dr. Silvia Ferrari Graduate Student: Chenghui Cai

	This project falls in the topic of surveillance systems and intelligent sensor networks. The goal of the project is to enable multi-sensor sonar systems to be used in highly cluttered underwater environments where targets of interest are hard to detect and track. There are four key issues involved in the project: (1) acoustic models to solve acoustics propagation problem and compute signal propagation (transmission) loss; (2) target detection; (3) target classification; (4) target localization and tracking. Unlike classical methods that address these issues individually, a common formalism is proposed to solve these issues and integrate surveillance problems, such as, sensor fusion, platform deployment, sensor planning and optimization, in a unified BN graphical model. Conducting the research at Duke University is Dr. Silvia Ferrari , Assistant Professor in Mechanical Engineering at Duke University , and her graduate student, Chenghui Cai.
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