EFC JIP CBRN Workshop

Finmeccanica areas of interest

Michele Genisio Brussels - September 15, 2011 Contents

Contents

1. Finmeccanica key data 2010

2. Proposed areas of investigation Commercial in Confidence 1 - Finmeccanica Key Data 2010

FY2010 FY2009  Net Profit 557 M€ 718 M€ Revenues € 18.695 m  Order Intake 22,5 B€ 21,1 B€  Employees 75,197 73,056  R & D 2.0 B€ 1.98 B€

DEFENSE AND DEFENSE AERONAUTICS TRANSPORT ENERGY SPACE SECURITY SYSTEMS

ELECTRONICS

2.809 M€ 3.644 M€ 1.962 M€ 7.137 M€ 1.210 M€ 1.413 M€ 925 M€

. . AgustaWestland . AnsaldoBreda . DRS Technologies . Oto Melara . Ansaldo Energia . . Alenia . BAAC . Ansaldo STS . ElsagDatamat . WASS . Ansaldo Fuel Cells . . SuperJet . BredaMenarini . Selex . MBDA . Ansaldo Nucleare Communications International bus . Selex Galileo . ATR . Selex Sistemi . Eurofighter GmbH Integrati 100% owned by Finmeccanica . Selex Service Management JVs Finmeccanica view

Emerging requirements in the CBRN area: C and B detectors • Wide threat range • Speed of Response • Low Detection Levels • Threat Identification M&S of CBRN architectures • representing the whole process, from threat to recovery • enabling military-civil interaction • multi-threat scenarios.

M&S of CBRN Architectures

OBJECTIVES Modelling & Simulation of a CBRN Architecture representing: - Environment: both predictable (terrain characteristics, urban context, road network, etc) and unpredictable (crowd behaviour, humand behaviour, weather etc ) aspects - Responders: both civilian and military components (including actor, systems, equipment , sensors etc) - Decision Makers

In order to support: - Architecture Optimization - Concept Development and Experimentation - Decision Support - Training and Exercise

Proposed areas of investigation

1.Stand-off detection and related Spectroscopy

a) QCL sources for MWIR and LWIR spectroscopy

b) LIDAR techniques

2.Point detection and related Spectroscopy

a) Nano-functionalised surfaces for stand-off interrogation

b) SERS and other optical methods for Rapid Air particle monitoring

3.Critical building blocks for THz spectroscopy

4. M&S of CBRN Architectures Proposed areas of investigation

Main Drivers for Research Areas

Technological : System: Orienting of the research activities towards Stand-off LIDAR systems (for final products representing surveillance different applications) at low systems rather than specific sensors, False Alarm Rate capable to provide Early Warning, Laser sources definition for identification and tracking of the cloud of remotized applications on UAV threat and the forecast on its behaviour. and UGV

Integration of Chemical and Biological detection & identification capabilities in a unique system Smart Targets (and smart dust) for enhanced stand off interrogation of C and B agents

CONCEPT SMART TARGETS (smart dust) can be distributed over the area of interest, to provide controlled and highly contrasted background, for InfraRed, Raman, or fluorescence spectroscopies. The smart target features: -Durable Receptors that, grafted on the surface of the target, can selectively trap C or B agents from the air (or from the water phase); - Nano-structures that, patterned on the surface of the target, can provide UTILIZATION resonant excitation of localized Smart targets can be interrogated from a plasmons for Surface Enhanced distance by larger systems, or at closer spectroscopies. distance by smaller sensors on board of UGVs.

8 Rapid air particle monitoring against biological threats, by SERS and other optical methods

OBJECTIVES - Develop new point sensors for the One possible configuration of an analysis of air and water electro-optical point -Detect to Warn response time (< 5 sensor for rapid min); screening of air particles -Man portability against biological threats -Broad biological range -Good selectivity and taxonomical classification ability; -Minimal use of chemicals and reagents, for long term unattended operation

(SOME) INTERESTING AREAS OF INVESTIGATION -Use of Surface Enhanced Raman Spectroscopy (SERS) to analyze cells as such, without cell lysis; - Use of Molecular Printboards as durable and reversible receptors; -Use of Laser Scanning Flow Cytometry for early warning (to provide size and shape of particles); Technological Bricks for THz

 THz Sources: Non linear mixing in Lithium Niobate or Semiconductor thin film

w 1 "signal" w3 w 2 "idler"

 THz detectors: THz mixer based on optically injected plasma waves in III-V Semiconductors

M&S of CBRN Architectures

AREAS OF INVESTIGATION Bottom - up simulation of: Support Capabilities -the different context brick - Scenario Engine - the responder activities - Recording & Statistical Analysis - the possible different doctrines/procedure - Measure Of Effectiveness generation References

EDA Studies: DEGAS: Chemical Stand-Off sensor based on a multispectral IR sensors; FABIOLA: Biological Point sensors based on laser induced fluorenscence CANARIO: Chemical Point sensor based on selective IR absorption

EC-FP6 PASR study: BODE: Biological stand-off sensor based on laser induced fluorescence

EC- FP7 Study: CBRNE-Map: Roadmap for CBRNE demostrators SICMA: Simulation of Crisis Management Activities ACRIMAS : Aftermath crisis management PRACTICE : Preparedness and Resilience to a CBRN crisis

PNRM - (Italian Plan of Military Research) CAM: Centro di Addestramento Medico;

M&S Centre of Excellence for NATO

Products: NexsenseC: Chemical point detector PoC

Mauro VARASI– Finmeccanica [email protected]

Michele GENISIO – SelexGalileo [email protected]

Anna Maria FIORELLO – Selex Sistemi Integrati [email protected]