Monday, February 26, 2018
      CMRE Facebook page  CMRE LinkedIn page  CMRE PAO Youtube page
   
Text Size
CMRE banner

Memorandum Reports

Report that covers interim results during the course of a project. Note: Unless linked to the full text, reports are only available to NATO member nations from designated distribution centres.

Documents

Order by : Name | Date | Hits [ Ascendant ]

Validation of the Goal-Oriented Decision Support System in the context of counter-piracy interdiction operations in the Indian Ocean Validation of the Goal-Oriented Decision Support System in the context of counter-piracy interdiction operations in the Indian Ocean

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

Validation of the Goal-Oriented Decision Support System in the context of counter-piracy interdiction operations in the Indian Ocean. Bourque, François-Alex. CMRE-MR-2015-016. December 2015.

In an effort to address the problem of conducting counter-piracy interdiction operations in the Indian Ocean, the NATO Science and Technology (STO) Centre for Maritime Research and Experimentation (CMRE) developed the Goal-Oriented Decision Support System (GO-DSS). Within that specific operational context, this contribution validates the approach used in the GO-DSS focusing on two core elements of its methodology, namely the risk forecasts used as input and the evolutionary vessel routing algorithm implemented in the Optimal Asset Allocator (OAA). Part of the GO-DSS design philosophy being predicated on environmentally forecast risk of piracy, the spatio-temporal characteristics of these risk maps is explored and conclusions are drawn in regards to the validity of the spatial variability observed and of the concept of risk as a time-varying quantity. A comparative performance analysis is then conducted pitting the OAA against two alternatives: a placement strategy where vessels do not stray throughout the planning horizon and a greedy approach for vessel routing with identical initial conditions. Comparing the performance between all three models then allows us to address the question of the validity of the OAA?s vessel routing algorithm, another tenet of the GO-DSS approach, at least within the specific context of counter-piracy interdiction operations in the Indian Ocean. A general discussion on the usefulness of routing within this context is, however, left as a future effort.

Considerations on using a glider-mounted single beam echo sounder for smart sensing of local seabed characteristics Considerations on using a glider-mounted single beam echo sounder for smart sensing of local seabed characteristics

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

Considerations on using a glider-mounted single beam echo sounder for smart sensing of local seabed characteristics. Nielsen, Peter L. ; Troiano, Luigi. CMRE-MR-2015-014. December 2015.

Knowledge of the seabed properties are critical information to perform reliable sonar performance predictions, particularly in shallow-water regions where the transmitted sound has multiple interactions with the ocean boundaries. These ocean properties are often considered as the most difficult to obtain. State-ofthe- art measuring techniques and the latest development in analysis methodologies including inference theory are often too cost and labour intensive for operational purposes. Advances in the technological development of autonomous underwater vehicles (AUV) may provide an opportunity to establish seabed properties over large areas in access denied regions. This report describes a feasibility study in using a glider platform equipped with a low-frequency single-beam echo sounder operating at normal incidence to the ocean bottom for seabed characterisation. The results provide a CMRE proposal of hardware to be installed on a glider platform and an estimate of power consumption at specific source level and pulse repetition rate. Simulations of the sensor output are performed to estimate possible seabed parameters including stratification, sound speed, density and attenuation for each layer together with the maximum detection depth into the seabed. This analysis naturally leads to an on board the glider processing chain to perform smart sensing, i.e., only transfer of critical seabed characteristics from the operating glider to a control centre.

Multi-view classification with deep learning for mine countermeasures Multi-view classification with deep learning for mine countermeasures

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

Multi-view classification with deep learning for mine countermeasures. Williams, David P. CMRE-MR-2015-012. December 2015.

A new approach is proposed for multi-view classification when sonar data is in the form of imagery and each object has been viewed an arbitrary number of times. An image-fusion technique is employed in conjunction with a deep learning algorithm so that the sonar data from multiple views can be combined and exploited at the (earliest) image level. The method utilizes single-view imagery and, whenever available, multi-view fused imagery, in the same unified classification framework. The promise of the proposed approach is demonstrated in the context of a mine classification task with real synthetic aperture sonar imagery collected at sea.

Developing performance-based planning and evaluation for phased MCM using modern systems Developing performance-based planning and evaluation for phased MCM using modern systems

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

Developing performance-based planning and evaluation for phased MCM using modern systems. Connors, Warren. CMRE-MR-2015-013. December 2015.

The emergence of robust, reliable robotic platforms equipped with advanced sensing and logging capabilities has resulted in the need for a reconsideration of both the tools and tactics for NATO MCM. This need encompasses not only the methods of employment, but also the metrics and data products which are available from these platforms. Traditional NATO MCM is based on a set of tactics and tools which define the standards for interoperability. Previous work has shown the inability for these algorithms and tactics to integrate modern systems and sensors, resulting in an inability to fully exploit of the capabilities of these systems in the context of NATO MCM. This report considers recent work performed at CMRE in collaboration with the NATO nations to advance interoperable planning and evaluation using through-the-sensor techniques for evaluation, advanced data products, and methods for performance prediction. This work includes the consideration of the metrics of mine warfare, the fidelity of these metrics, and advanced visualization techniques for MCM performance. As a result of experimentation, recommended enhancements for current experimental tactics are presented, as well as a method for predicting sensor performance in previously unseen environments. This ability to quantify performance in new environments is the primary requirement for effective mission planning at the tactical level. This work will also introduce a collaborative effort between the operational and scientific communities to develop interoperable planning and evaluation for NATO MCM. The goal of this work is to provide guidance on the tactics, algorithms, metrics and data products for future interoperable MCM.

Assessment of the impact of ocean data collection from heterogeneous networks on sonar performance prediction Assessment of the impact of ocean data collection from heterogeneous networks on sonar performance prediction

Date added: 10/21/2015
Date modified: 10/21/2015
Filesize: Unknown

Assessment of the impact of ocean data collection from heterogeneous networks on sonar performance prediction. Jiang, Yong Min; Alvarez, Alberto; Falchetti, Silvia. CMRE-MR-2015-010. September 2015.

The fidelity of sonar performance predictions depends on the model used and the quantity and quality of the environmental information that is imputed and that will determine the sound transmission loss. To investigate the impact of the oceanographic information collected by a heterogeneous and near-real time adaptive network of robots in a simulated access denied area, a field experiment (REP13-MED) was conducted by CMRE during August 2013 in an area (70 X 81 km) located off-shore La Spezia (Italy), in the Ligurian Sea. The sonar performance assessment assumes fixed target strength, detection threshold and ambient noise levels, and makes use of acoustic data recorded by a vertical line array at source ? receiver ranges from 0.5 to 30 km to benchmark active transmission losses. Continuous wave pulses at multiple frequencies (300 ? 600 Hz) were transmitted at two source depths, 25 and 60 metres, at each range. At least 60 pings were collected for each source depth to build up the statistics of the acoustic received level and quantify the measurement uncertainty. A comparison of the acoustic transmission loss measured and predicted using an ocean prediction model (ROMS) assimilating the observed oceanographic data is presented, and the performance of the observational network is evaluated.

User Login