Conference Agenda

MAST Med 2022 Grand Hyatt, Central Athens, Greece

Wed 2 Nov 2022

16:30 Wed 2 Nov 2022

16:30–18:00

2B: Surface

Onboard Systems Advances

Naval Navigation: Innovative Approach Allowing Unconditional and Protective Performance

  • Dr Emmanuel Nguyen
    Engineer
    Thales
    France

Navies are facing numerous evolutions in particular in the Electronic Warfare (EW) domain and the associated required resilience. Being able to operate in such environment will be common practice. In such cases, EM-Log coupled with INS is implemented as the primary navigation solution instead of the GPS which is often jammed. It is well known that EM-Log sensors are sensitive to sea current variation leading to unpredictable impact on position and heading. This paper shows the behaviour of INS/EM-Log vs. INS only solutions according to different sea current conditions, specifically when currents are higher than 0.5 kts and demonstrate their impact on the navigation performance. It will also highlight the innovative approach chosen by TopAxyz INS to provide a truly generic performance for all types of platform (surface and submarine). TopAxyz high navigation performance is fully immune from any external environment variation, in particular sea current, and thus guaranteeing its performance in any condition at any location. Finally, it will demonstrate that TopAxyz INS solution reaching 1Nm/72H is most of the time more accurate than any state of the art current solution INS using EM-Log. Thales’ innovative approach enables complementary functions for both manned and unmanned platform such as GPS Spoofing detection and recovery, performance prediction which will enhance further the operational benefit of having TopAxyz’s “trusted performance” on board.

Decision Support System Based on Deep Reinforcement Learning for Warship Facing Asymmetric Threats

  • Ms Eva Artusi
    Phd Student
    Naval Group and PSL University
    France

Intensive information analysis related to a ship and its environment is required in order to make the appropriate decisions during naval missions. However, human capabilities are no longer sufficient to reliably and rapidly process the massive amount of heterogeneous data collected by a huge lot of different sensors. That is the reason why Artificial Intelligence (AI) algorithms as decision support could help operators to choose the appropriate decisions during naval missions.

This article offers a decision support model able to assist operators in choosing the most appropriate weapons when facing asymmetric threats in a dynamic environment by Deep Reinforcement Learning (DRL).

Thanks to the DRL, the decision support model is able to adapt to new situations and to recommend decisions in real time. A first model was designed based on a simple scenario where a war ship can be faced up to four simultaneous asymmetric threats. Threats are small boats with high speed steering on the vessel with the aim of colliding. The aim of the decision support is to recommend the most appropriate weapon, which maximizes the chance to dissuade the threat. The possible recommended weapons are three and the decision support model will use a Measure Of Effectiveness (MOE) to determine the most appropriate. This MOE computes the dissuasion probability of each weapon depending on some threat and vessel characteristics. A first model validation was realized with people having some experience in asymmetric warfare.

Over-the-Horizon-Radar: Latest Innovations and Test Results

  • Mr Thomas Helzel
    President
    Helzel Messtechnik GmbH
    Germany

OVER-THE-HORIZON-RADAR, Latest Innovations and Test RESULTS

The latest innovations of the over-the-horizon surface wave radar developed by HELZEL are introduced. The features of these systems with up to 200 NM range will be presented together with details about the used technology. Results from first tests with a new tracker algorithm will be presented as well.

The latest generation of these systems are designed for dual frequency operation with a single line receive antenna array with 32 antennas. This reduces the required area for antenna deployment and allows even a rapid deployment of mobile systems as future option.

The HELZEL OTHR system for ship detection and tracking is available since 2015 and more than 12 systems are already operational. From one deployment the data are released to be published and statistics of this deployment will be presented.

The integration of these OTHR data is performed by a multi-sensor tracker. This software supports decision making by identifying suspicious targets.

The application of such OTHR systems ranges from detection of illegal activities like fishing piracy within the exclusive economic zone, detection of suspicious manoeuvres like rendezvous at sea or military relevant manoeuvres far behind the horizon. Furthermore, due to the real dual-use features of the OTHR, oceanographic parameters can be derived and used to support search and rescue operations.


Co-autors Thomas Helzel, Roberto Gomez, Matthias Kniephoff, Leif Petersen, Jan Widera, Helzel Messtechnik GmbH, Carl-Benz-Str. 9, 24568 Kaltenkirchen, Germany

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