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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. 

Documents

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An overview of extended target tracking techniques for radar sensor network data An overview of extended target tracking techniques for radar sensor network data

Date added: 12/23/2015
Date modified: 12/23/2015
Filesize: Unknown

An overview of extended target tracking techniques for radar sensor network data. Vivone, Gemine ; Braca, Paolo. CMRE-FR-2015-017. December 2015.

Ship traffic monitoring and port protection represent big challenges and intensive research activities are focused on these topics. Radars are widely exploited technologies for these purposes. The CMRE?s radar sensor network installed in the Gulf of La Spezia, Italy, is an example of a bistatic high resolution radar network to detect and track targets in maritime environment. It consists of an X-band Marine radar and an inverse synthetic aperture radar. In this report, we present several approaches to track extended targets (i.e. targets that occupy more than one radar cell) using data acquired by the radar sensor network. A fully Bayesian solution to the filtering problem for extended target tracking is presented first. Proper measurement models to deal with the radar?s measurement noise and its conversion into Cartesian coordinates are presented for both the monostatic case and the bistatic case. A gamma Gaussian inverse Wishart probability hypothesis density tracker is also provided to address the problem of the multiple extended target tracking in a cluttered environment. The proposed converted measurements model is also integrated in the above-mentioned approach. Finally, a signal processing chain based on a pixel-wise detector and a joint probability data association tracker is proposed to track extended targets reducing the computational burden and meeting the real time requirement.

Big data architectures in support of computational maritime situational awareness: case study in port traffic analysis Big data architectures in support of computational maritime situational awareness: case study in port traffic analysis

Date added: 12/23/2015
Date modified: 12/23/2015
Filesize: Unknown

Big data architectures in support of computational maritime situational awareness: case study in port traffic analysis.Cazzanti, Luca; Davoli, Antonio. CMRE-FR-2015-021. December 2015.

Computational Maritime Situation Awareness (MSA) supports the maritime industry, governments, and international organizations with machine learning and statistical data analysis techniques for analyzing vessel traffic data. A critical challenge of scaling computational MSA to big data regimes is integrating the core learning algorithms with big data technologies while taking into account the semantics of the maritime domain and the needs of the stakeholders. To address this challenge, this report surveys the concepts and technologies from the field of big data and describes why and how they may support the typical tasks and challenges faced by the MSA community. As a concrete, practical example of how big data can support MSA, this report describes a software tool developed by the Centre for Maritime Re-search and Experimentation (CMRE) according to big data principles that analyses large quantities of open source, maritime vessel traffic data, produces summary statistics of activities in ports, and makes them available to end users in easy-to-understand charts.

On distributed, network-based, long-base line navigation On distributed, network-based, long-base line navigation

Date added: 10/27/2015
Date modified: 10/27/2015
Filesize: Unknown

On distributed, network-based, long-base line navigation. Munafò, Andrea. CMRE-FR-2015-012. September 2015.

This work describes a system for underwater acoustic navigation based on the addition of localisation services to networked acoustic communication. The approach is based on the inclusion of timing information within acoustic messages through which it is possible to know the time of an acoustic transmission in relation to its reception. The exploitation of such information at the network application level makes it possible to create an interrogation scheme similar to that of a long-baseline. The advantage is that the AUVs themselves become the transponders of a network baseline, and hence there is no need for dedicated instrumentation. Vehicle localisation becomes a service of the acoustic network, reducing the AUV need for additional onboard sensors. Navigation results are given from the COLLAB?NGAS14 and the DMON15 experimental campaigns where the navigation of two Autonomous Underwater Vehicles was supported by an acoustic network composed of up to six nodes. Results are reported as obtained in the field, with varying number of nodes and navigation systems on-board the vehicles.

Extended target tracking applied to X-band marine radar data Extended target tracking applied to X-band marine radar data

Date added: 10/27/2015
Date modified: 10/27/2015
Filesize: Unknown

Extended target tracking applied to X-band marine radar data. Vivone, Gemine; Braca, Paolo; Errasti-Alcalá, Borja. CMRE-FR-2015-013. September 2015.

X-band marine radar systems are flexible and low-cost tools for monitoring multiple targets in a surveillance area. Although they may suffer from several sources of interference, e.g. sea clutter, they can provide high resolution measurements in both space and time. Such features offer the opportunity to get accurate in-formation not only about the target kinematics, i.e. positions and velocities, as other conventional radars, but also about the targets? extents. This research area is named extended target tracking (ETT). In this paper, we propose a signal processing chain composed of a detector and a joint probabilistic data association (JPDA) tracker to handle the problem of multiple ETT and to jointly estimate both the targets? kinematics and their sizes, i.e. length and width. The performance assessment is conducted on real data acquired by an X-band marine radar located in the Gulf of La Spezia, Italy. The experimental results demonstrate the ability of the processing chain to reach high performance with limited computational burden.

CMRE Report on "Participation of EKOE capabilities in the NATO Coalition Warrior Interoperability eXploration, eXperimentation, eXamination, eXercise (CWIX) 2015" CMRE Report on "Participation of EKOE capabilities in the NATO Coalition Warrior Interoperability eXploration, eXperimentation, eXamination, eXercise (CWIX) 2015"

Date added: 10/27/2015
Date modified: 10/27/2015
Filesize: Unknown

CMRE Report on "Participation of EKOE capabilities in the NATO Coalition Warrior Interoperability eXploration, eXperimentation, eXamination, eXercise (CWIX) 2015". Vicen-Bueno, Raul ; Bourque, François-Alex. CMRE-FR-2015-014. September 2015.

This CMRE report presents the way three capabilities of the EKOE (Environmental Knowledge and Operational Effectiveness) programme at CMRE have evolved from a NATO Unclassified (NU) environment to a NATO Secret (NS) environment. These three EKOE capabilities include inputs from the three current projects within the EKOE programme (Battlespace characterization, Understanding the underwater battlespace and Decisions in uncertain ocean environments). The normal way of providing scientific and research outputs from the EKOE programme is done through the participation/organization of sea-trials at NU level. The evolution of the three capabilities is due to the need of providing these scientific and research outputs at NS level so that these outputs can be available for NATO and nations in future exercises and/or operations. This evolution has been facilitated through the participation of the EKOE programme in the NATO exercise CWIX 2015 (Coalition Warrior Interoperability eXploration, eXperimentation, eXamination, eXercise). This participation has been done in collaboration with the CASW (Collaborative AntiSubmarine Warfare) and MSEC (Maritime Security) programmes at CMRE, where these programmes also deployed three other capabilities. The three capabilities participating from the EKOE programme were: OC data (oceanographic data and forecast), EnvAs (environmental and risk assessment) and Asset Planning. These capabilities have been developed considering highly interoperable standards, already adapted by NATO or in process of being accepted as standards. High success rates in terms of successful executed test cases with other NATO and national capabilities were achieved. Some improvements were identified in the three EKOE capabilities. This will make them much more robust and mature in terms of interoperability. The identified improvements have to be implemented in next steps/increments before participating in future NATO and national exercises. Finally, it is a highlight that interaction with more than 40 different capabilities from different focus areas (GeoMETOC, Maritime, Modeling and Simulation and Joint Vignette) and from 10 different nations and 3 NATO bodies/centres were achieved for the three EKOE capabilities. This high interaction denotes the high interest of the NATO nations and bodies/centres in CMRE/EKOE scientific and research outputs.

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