Frederik Kühne

Institution: Christian-Albrechts-Universität zu Kiel, DSS

Contribution

• Design of a Cost Function for the Evaluation of Different SONAR Modes
• Distributed passive SONAR systems for target localization
• Charakterisierung der Dämpfungseigenschaften von akustischen Dämmmatten in einer Unterwassertankumgebung
• Classification of Vessel Types by Means of Machine Learning
• Data Generation for Training of Neural Networks Dealing with Underwater Speech Transmission
• Real-time Framework for SONAR Ocean Simulation
• Acoustic-magnetic signatures of vessels
• Selected System Aspects for the Design of SONAR Nodes in a Multistatic Surveillance Network