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Projects: Projects for Investigator
Reference Number EP/J006610/1
Title Maritime Security Sensor Network Based on Ultra-Wideband Electromagnetic Waves Forward Scattering phenomena
Status Completed
Energy Categories Fossil Fuels: Oil Gas and Coal(Oil and Gas, Other oil and gas) 20%;
Not Energy Related 80%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 75%;
Sociological economical and environmental impact of energy (Environmental dimensions) 25%;
Principal Investigator Professor M Cherniakov
No email address given
Electronic, Electrical and Computer Eng
University of Birmingham
Award Type Standard
Funding Source EPSRC
Start Date 05 June 2012
End Date 04 June 2015
Duration 36 months
Total Grant Value £452,276
Industrial Sectors Aerospace; Defence and Marine; Transport Systems and Vehicles
Region West Midlands
Programme NC : Engineering
 
Investigators Principal Investigator Professor M Cherniakov , Electronic, Electrical and Computer Eng, University of Birmingham (100.000%)
Web Site
Objectives
Abstract A maritime security forward scattering sensor network is a novel and cost-effective system to protect national offshore assets and interests. Maritime security and related national economical and political interests are strategically important priorities for the UK Government and the world community in general. The most recent example can be found in the Persian Gulf, a region which sees billions of pounds of merchant traffic annually and where a lack of maritime security has created opportunities for piracy. Another example is the Deepwater Horizon oil spill in the Gulf of Mexico (the result of technical problems) which demonstrated the cost of this kind of maritime catastrophe which might make it a potentially attractive target for a terrorist attack. It also highlighted the problem of the detection and dynamic tracking of oil spills.A number of systems are currently employed for the remote monitoring of the sea surface. Each system has its own capabilities and limitations. It seems unlikely, therefore, that any one system could be developed to solve all the problems of sea monitoring with a resolution sufficient to permit the detection and automatic identification of small objects. The solution lies in a combination of systems. For this reason, the introduction of new tools and specifically tools capable of filling the gaps in the existing security systems is very much welcomed.This project aims to develop a brand-new, cost-effective security sensor network for maritime application. The proposed system would be maintained on a chain of light anchored buoys spread over a range of several miles equipped with ultra-wideband (UWB) forward scatter (FS) sensors enabling earlier automatic detection and identification of non-cooperative intruders in all-weather conditions. The network targets the detection of low-visible, small, and potentially low-speed maritime targets such as boats (which might be used for suicide missions or for smuggling people, drugs or weapons); semi-submerged objects (lost containers or icebergs dangerous for maritime traffic and offshore installations); environmental control (oil spill detection); etc. The system could be used where more traditional monitoring tools are unable to operate and would replace or complement them. It would be effective for emerging maritime situations, e.g. to protect offshore wind energy farms and EEZ boundary, to track the routes of pirates and so forth. The engineering outputs from the project will include a demonstration and testing of the system fragment in real marine conditions leading to a detailed production specification of the system developed with industrial partners and end users. Eventually a brand new product would be developed and manufactured for the world market and it would bring economic benefits to the UK and strengthen its position in the high-tech market
Publications (none)
Final Report (none)
Added to Database 23/07/12