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Formal Reports

Report of results of completed projects or major milestones either in scientific terms or in terms acceptable to a wider audience. Note: Unless linked to the full text, reports are only available to NATO member nations from designated distribution centres. 


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NATO Coalition Warrior Interoperability exploration, experimentation, examination, exercise (CWIX) 2017: exercise plan for the NATO-CMRE-GliderC2 capability participation NATO Coalition Warrior Interoperability exploration, experimentation, examination, exercise (CWIX) 2017: exercise plan for the NATO-CMRE-GliderC2 capability participation

Date added: 08/11/2017
Date modified: 08/11/2017
Filesize: Unknown

NATO Coalition Warrior Interoperability exploration, experimentation, examination, exercise (CWIX) 2017: exercise plan for the NATO-CMRE-GliderC2 capability participation. Vicen Bueno, Raul; Cimino, Giampaolo; Cecchi, Daniele; Merani, Diego; Soto, José; Berni, Alessandro. CMRE-FR-2017-001. April 2017.

This report describes the Exercise Plan for CMRE participating in the NATO Exercise CWIX 2017 (Coalition Warrior Interoperability eXploration, eXperimentation, eXamination, eXercise). CMRE will participate with its scientific capability GliderC2 (Underwater Glider Command and Control). This capability is a framework being able to provide live observations from the sea by using unmanned vehicles. Live NU observations acquired by underwater gliders participating in the CMRE scientific sea-trial NREP17 (Nordic Recognized Environmental Picture 2017) will be provided at NS level. NU glider positions/contacts and intended tracks will be provided to C2, Common Operational Picture (COP), Joint Intelligence, Surveillance and Reconnaissance (JISR) and Geospatial, Meteorological and Oceanographic (GEOMETOC) capabilities in near real-time. Forecasts of oceanographic variables (e.g. water temperature, salinity) with glider observation assimilation will be provided as well. Information will be provided through robust and interoperable standards and web-services, which allows CMRE automating the process of information provision to NATO and national capabilities. The main challenge for CMRE in CWIX 2017 will be the remote C2 of live unmanned robots (underwater gliders) from operational commands/sites, such as the NATO Joint Force Training Centre (JFTC) in Bydgoszcz, Poland, where CWIX takes place. This is the first time ever this happens in this NATO exercise. Final users, such as commanders, operators, could have the change to C2 unmanned underwater robots operating at 2,500+ km of distance from JFTC in near real-time at NU level. Mission requirements will be acquired by a web-service running at NS level. The collected information will be automatically provided in near real-time to C2, COP, JISR and GEOMETOC capabilities at NS level using interoperable standards for web-services. Another important challenge for CMRE participation in CWIX 2017 is the virtualization of the NATO-CMRE-GldierC2 capability. This is aligned with the NATO policy on efficiency and efficacy on capability deployment in exercises and operations. This is another step forward operationalization of this capability. CMRE will be contributing into the NATO Recognized Environmental Picture (REP) and Recognized Maritime Picture (RMP) concepts being tested in CWIX 2017. Live observations from the gliders and forecasts of oceanographic variables for the REP, and live positions/contacts and intended tracks of the gliders from the underwater domain for the RMP will be provided. CMRE will be the unique provider of such information in both concepts.

Multi-sensor extended target tracking Multi-sensor extended target tracking

Date added: 06/23/2017
Date modified: 06/23/2017
Filesize: Unknown

Multi-sensor extended target tracking.Vivone, Gemine; Braca, Paolo. CMRE-FR-2017-002. June 2017.

In this report, the multiple sensor extended target tracking problem is studied into the random matrix framework. We deal with data from a network of multiple sensors and focus on the spatial density modelling. The multiple sensor extension for extended target tracking is not straightforward. Indeed, the extent of the target differs when it is observed from different perspectives. The scope of this report is limited by the assumption that there are no clutter measurements and there is exactly one target present in the surveillance area. Four different multi-sensor measurement updates are presented; three updates based on a parametric density representation of the extended target state distribution, and one update based on a Rao-Blackwellized (RB) particle representation of the extended target state distribution. The updates are evaluated and compared in an extensive simulation study using two kinds of simulators evaluating the performance varying the numbers of particles, the numbers of detections per target, the numbers of sensors, and the noise levels. Results show that the RB particle filter gives the best performance, at the price of higher computational cost.

A risk game formalization in support to maritime situation awareness automation: analysis of reasoning profiles A risk game formalization in support to maritime situation awareness automation: analysis of reasoning profiles

Date added: 03/08/2017
Date modified: 03/08/2017
Filesize: Unknown

A risk game formalization in support to maritime situation awareness automation: analysis of reasoning profiles. Jousselme, Anne-Laure; Ben Abdallah, Nadia; Pichon, Fréderic. CMRE-FR-2016-011. December 2016.

This document follows on previous work on the Risk Game, a general methodology developed at CMRE to elicit experts knowledge and know-how, and their ability to deal with information of different nature, to consider the information quality and to reason about concurrent events. It is a contrived technique aimed at capturing data expressing human reasoning features while performing a specific task of maritime situation assessment. This report is mainly dedicated to the mathematical formalisation of the risk game and the underlying maritime situation assessment problem. We propose an overarching framework for maritime situation assessment which clearly distinguishes between the elements of (1) context, (2) source quality and (3) situation, and considers their influence links. The model has three layers: variable layer, valuation layer and information quality layer. We adopt the algebraic framework of Valuation Algebras allowing a great flexibility in uncertainty representation and reasoning. In order to cover a wide range of uncertainty representations, and further study the impact of modelisation choices, we frame the problem into the belief function theory as it naturally extends both classical sets (hence classical logic) and probability theory. Furthermore, we use a graphical model which, besides efficient computation, allows a clear exposition of the problem and solution for a hopefully better understanding for the user. The analysis performed illustrates comparative reasoning schemes between players and automated reasoners. By testing a few different schemes, we have been able to identify players whose reasoning was consistent with evidential reasoning, or who answered to a threat assessment problem rather than an identification problem. We have also been able to highlight the impact of context and source quality. Rather than suggesting a normative way of reasoning, this study aims at characterising personal reasoning attitudes of experts. Knowing in advance the consequences of a particular reasoning scheme could help prevent some reasoning biases.

Building NATO hybrid, cognitive and secure underwater networks Building NATO hybrid, cognitive and secure underwater networks

Date added: 02/27/2017
Date modified: 02/27/2017
Filesize: Unknown

Building NATO hybrid, cognitive and secure underwater networks. Alves, João; Berni, Alessandro; Furfaro, Thomas C.; Merani, Diego; Munafò, Andrea; Pelekanalis, Konstantinos; Petroccia, Roberto; Zappa, Giovanni. CMRE-FR-2016-006. December 2016.

This document presents the work currently under development at Centre for Maritime Research and Experimentation (CMRE) towards the implementation of a hybrid, cognitive and secure underwater networking capability. It sums up the different technical and scientific strands of work into a coherent and unifying capability that can enable advanced autonomous underwater solutions by delivering smart, adaptive and secure underwater networking. The authors motivate the need for building a backbone architecture from the ground up, putting the requirements in perspective with the state-of-the-art. The design of the architecture is then presented in detail. The adaptive solutions and protocols developed are also reported along with the results obtained so far from experimentation at sea. The security aspects of underwater communications and how those come into play within the proposed solution are also addressed. The implementation of known security techniques is discussed and prospect approaches are presented. The path towards underwater networking interoperability is also addressed, specifically by presenting recent work that promotes the usage of JANUS to deliver novel maritime capabilities. Another interoperability aspect reported is the connectivity of underwater networks into NATO C2 systems.

Demonstrating a real-time ASW prediction service at CWIX Demonstrating a real-time ASW prediction service at CWIX

Date added: 02/06/2017
Date modified: 02/06/2017
Filesize: Unknown

Demonstrating a real-time ASW prediction service at CWIX. Strode, Christopher; Oddone, Manlio. CMRE-FR-2016-009. December 2016.

This document describes the existing real time acoustic prediction architecture afforded by recent developments made to the CMRE Multi Static Tactical Planning Aid (MSTPA) software. A description of the current architecture that has been successfully demonstrated at CWIX 2015 and 2016 is given. Further details are then provided for proposed methods by which the software may be transitioned to a web service architecture for operators and planners allowing for increased interaction. Specifically the need for the operator to configure sensor parameters is described.

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