The Underwater Acoustic & Navigation Lab

The Underwater Acoustics and Navigation lab (ANL), headed by Prof. Roee Diamant, is active in the fields of underwater acoustic communication networks, underwater signal detection, object classification, underwater localization, and underwater navigation. Our research interests include channel modeling, design of algorithms and protocols, analysis, and development of simulation tools. We focus on applied research and develop tools for problems like underwater mine detection, navigation without GPS, communication between divers and autonomous vehicles, classification and characterisation of marine mammals and fish, tracking the motion of marine animals, and long range acoustic communication. The facilities in the lab include equipment for sea experiments, a large acoustic chamber, and a direct access to perform measurements from the lab in a testing pool and in the Shikmona reef. 

Ongoing projects

      Security, Scheduling, and routing of underwater acoustic networks

      Tracking and localization of Lobsters in a marine reservation

Detection and biomass estimation of pelagic fish and coastal sharks

      Active acoustics for detection of sea turtles

      Localization and tracking of underwater objects

Underwater navigation through SLAM and visual odemerty

Passive acoustics for classification of Dolphin noises

Detection of submerged mines from Sonar images

      Active acoustics for the detection of scuba divers


The Wave Hunter Project

Israeli underwater robots win sustainable fishing contest


Thread Detect: Project to Secure Marine Infrastructures


THEMO Project: Marine observatory buoys


Impacts of shipping Underwater Radiated Noise on the behavior of aquatic animals

Project SOUND: Sustainable Fishery

Interview in the Montenegro National TV

Project Inforgraphic

Localization and tracking of underwater objects:

Concept and scope of our project: our underwater cybersecurity solution encompasses the authentication of network transmissions, signal interception countermeasures and LPD signal detection. Our solutions will be tested at sea in realistic scenarios involving multiple underwater communication devices:

Our research focuses on developing a remote sensing solution for predicting maintenance needs in ship machinery. We use underwater noise emitted by ships to remotely monitor their machinery without needing any onboard installations. By analyzing changes in the ship's acoustic signature, we aim to detect potential issues in the propulsion system, pumps, generators, and other equipment. This proactive approach helps prevent costly breakdowns and ensures the safety of both the vessel and its crew. Our process is fully automated, requiring no input or collaboration from the ship's crew, making it a convenient solution for busy operators. 

Active acoustics for detection of sea turtles