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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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Performance-based planning and evaluation for modern naval mine countermeasures systems Performance-based planning and evaluation for modern naval mine countermeasures systems

Date added: 12/17/2014
Date modified: 12/17/2014
Filesize: Unknown

Performance-based planning and evaluation for modern naval mine countermeasures systems. Connors, Warren A.; Fox, Warren L. J. CMRE-FR-2014-025. December 2014.

Recent work has shown the need for research into naval mine warfare planning and evaluation (P&E) techniques for modern AUV-based systems, as the current technologies and tactics are oriented towards traditional MCMV platforms. CMRE is considering the development of metrics for P&E of AUV-based systems, and how these metrics are to be integrated with existing MCM tools and tactics to provide interoperability between the traditional and the modern AUV-based platforms. This report considers the recent work at CMRE to characterise the side-looking sonar data for the development and integration of sensor models and sensor-centric approaches, known as through-the-sensor techniques, for P&E. This work includes the development of methods for mapping the CMRE MUSCLE data products to a recently developed through-the-sensor evaluation model, the execution of two large experiments to assist in the characterisation of side-looking sonars, and the further evaluation and input to the EXTAC 873 document, which describes experimental tactics for future MCM using AUV-based platforms. This work introduces current and future work aimed at the integration of modern systems into the existing MCM tools and tactics, prediction models for sensor performance, and the integration of AUV P&E metrics into the overall metrics of NATO MCM. The goal of this work is to provide guidance on the algorithms required for MCM P&E, and the development of metrics for interoperability with traditional MCM platforms.

ISAR processing for the CMRE radar sensor network data ISAR processing for the CMRE radar sensor network data

Date added: 12/02/2014
Date modified: 12/02/2014
Filesize: Unknown

ISAR processing for the CMRE radar sensor network data. Bucciarelli, Marta; Errasti, Borja; Braca, Paolo. CMRE-FR-2014-021. October 2014.

The CMRE Radar Sensor Network (CMRE RSN) is formed by two low power, compact and lightweight sensors transmitting linear Frequency Modulated Continuous Wave (FMCW) signals: the Marine Radar Node (MRN), which is equipped with a rotating antenna and is usually employed for detection and tracking of targets, and the Inverse Synthetic Aperture Radar Node (ISARN), which has a static antenna and is normally used to obtain high resolution images of targets. This report is focused on the imaging capability of the RSN. Among very different motion compensation and autofocusing techniques, an autofocusing procedure developed for FMCW ISAR system, is described and then tested both on simulated and on live ISARN data. The technique is based on the maximization of a focusing quality parameter for the radial motion compensated Range Doppler image of a target, and it proved to be suitable for FMCW ISARN monostatic acquisitions. In recent years, significant of interest has grown concerning the exploitation of data acquired by multiple sensors belonging to multistatic or Multiple Input Multiple Output (MIMO) Synthetic Aperture Radar (SAR) and Inverse SAR (ISAR) imaging systems. Indeed better performance and/or increased information can be retrieved considering a network of cooperating sensors. The possibility of exploiting data acquired by both sensors in the CMRE RSN has been investigated to extract more information on the target motion. Indeed the MRN could be used in "ISAR mode" inhibiting the antenna rotation and fixing the antenna bearing. After the derivation of a model for the multiple sensor received signals and the conception of multiple sensor translational motion estimation techniques, preliminary results on simulated and real data show that the availability of multiple sensors observing the same target with different points of view allowed the estimation of both the radial and cross-radial component of the translational motion of the target itself, while single sensor based techniques usually provide information on the radial component only.

A comparison of measured and modelled acoustic signal excess during Noble Mariner 2012 A comparison of measured and modelled acoustic signal excess during Noble Mariner 2012

Date added: 11/26/2014
Date modified: 11/26/2014
Filesize: Unknown

A comparison of measured and modelled acoustic signal excess during Noble Mariner 2012. Jiang, Yong Min; Strode, Christopher. CMRE-FR-2014-022. November 2014.

In September 2012, mid-frequency acoustic signal excess measurements were conducted in the Gulf of Lions to validate the sonar performance of the Multistatic Tactical Planning Aid. Owing to the fact that the validity of an acoustic model and the quantity and quality of the environmental information have almost equal impact on the fidelity of sonar performance predictions, this study carries out a measurement and model comparison of the acoustic signal excess by using different categories of rapid environmental assessment inputs. Specifically, five different categories of ocean environmental information have been used, including 1) climatology, 2) a high-resolution regional ocean model, 3) a high-resolution regional ocean model initialized by survey ship data collection, 4) a high-resolution regional ocean model updated by assimilation of glider data and 5) gray-ship equivalent on-scene for an operation. The bathymetric data used were either from climatology or collected by a multi-beam system for the scientific validation. The comparison was performed on the data collected along both range dependent and range independent tracks, seven source-target ranges for each track, two source depths at each source-target range and three different receiver depths. The impacts of varying degrees of fidelity of environmental information, as well as the conditions/configurations for setting up the acoustic model, on signal-excess predictions are summarized.

Interim model comparisons with Artemis Interim model comparisons with Artemis

Date added: 11/11/2014
Date modified: 11/11/2014
Filesize: Unknown

Interim model comparisons with Artemis. Harrison, Chris H. ; Schäfke, Alexandra; Strode, Christopher. CMRE-FR-2014-020. October 2014.

This report is a supplement to a report that documents recent changes to the sonar performance model, Artemis, to include convergence and caustic effects in a range-dependent environment [Harrison, CMRE-FR-2014-014]. Here favourable comparisons are made between Artemis and the well-established models Bellhop and RAM.

Decision support for counter-piracy operations: analysis of correlations between attacks and METOC conditions using machine learning techniques Decision support for counter-piracy operations: analysis of correlations between attacks and METOC conditions using machine learning techniques

Date added: 11/06/2014
Date modified: 11/06/2014
Filesize: Unknown

Decision support for counter-piracy operations: analysis of correlations between attacks and METOC conditions using machine learning techniques. Bombara, Giuseppe; Coccoccioni, Marco; Osler, John C.; Grasso, Raffaele. CMRE-FR-2014-019. October 2014.

Correlation between Meteorological and Oceanographic (METOC) data and sea piracy attacks in the Horn of Africa/Indian Ocean area is assessed and optimally exploited by using a machine learning approach based on the concept of a one-class classifier. The trained algorithms and METOC forecast models are used as inputs to forecast the piracy risk related to environmental conditions over the region of interest. Performance evaluation strategies are provided to assess the goodness of piracy risk maps used in daily counter piracy operation support. The research, through a rigorous analytical/statistical approach, confirms the existence of the correlation between METOC and sea piracy attacks and the algorithm evaluation procedure shows that the machine learning approach to the piracy risk prediction outperforms the classical threshold based method of modeling piracy group operational limits.

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