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Selex ES is an international electronics and information technology business, which is part of Finmeccanica S.p.A. It is based in Italy and the UK, and was formed in January 2013, following Finmeccanica's decision to combine its existing SELEX Galileo, SELEX Elsag and SELEX Sistemi Integrati businesses. It is organised into three divisions: Airborne and Space Systems, Land and Naval Systems, and Security and Smart Systems. Wikipedia.

Lombardini F.,University of Pisa | Cai F.,SELEX Galileo
IEEE Transactions on Geoscience and Remote Sensing | Year: 2014

Much interest is continuing to grow in advanced interferometric synthetic aperture radar (SAR) methods for full 3-D imaging, particularly of volumetric forest scatterers. Multibaseline (MB) SAR tomographic elevation beam forming, i.e., spatial spectral estimation, is a promising technique in this framework. In this paper, the important effect of temporal decorrelation during the repeat-pass MB acquisition is tackled, analyzing the impact on superresolution (MUSIC) tomography with limited sparse data. Moreover, new tomographic methods robust to temporal decorrelation phenomena are proposed, exploiting the advanced differential tomography concept that produces 'space-time' signatures of scattering dynamics in the SAR cell. To this aim, a 2-D version of MUSIC and a generalized MUSIC method matched to nonline spectra are applied to decouple the nuisance temporal signal components in the spatial spectral estimation. Simulated analyses are reported for different geometrical and temporal parameters, showing that the new concept of restoring tomographic performance in temporal decorrelating forest scenarios through differential tomography is promising. © 2014 IEEE.

SELEX Galileo | Date: 2012-10-18

An infrared detector system is described in which a despeckle filter is applied to image data generated by a High Operating Temperature (HOT) detector array. The filter reads the data associated with each pixel of the image generated and compares it with selected neighbouring pixels. The comparison yields a series of values that are compared to predetermined thresholds and the pixel is scored according to the number of values that exceed the threshold set. The score assigned to the pixel then determines the treatment of the pixel in the image to be generated. The data value of the pixel may be ignored, included or substituted with an alternative calculated value.

An avionics switched full-duplex Ethernet communication Arinc 664p7 network (

Agency: GTR | Branch: EPSRC | Program: | Phase: Research Grant | Award Amount: 3.84M | Year: 2013

Sensors have for a long time played a vital role in battle awareness for all our armed forces, ranging from advanced imaging technologies, such as radar and sonar to acoustic and the electronic surveillance. Sensors are the eyes and ears of the military providing tactical information and assisting in the identification and assessment of threats. Integral in achieving these goals is signal processing. Indeed, through modern signal processing we have seen the basic radar transformed into a highly sophisticated sensing system with waveform agility and adaptive beam patterns, capable of high resolution imaging, and the detection and discrimination of multiple moving targets. Today, the modern defence world aspires to a network of interconnected sensors providing persistent and wide area surveillance of scenes of interest. This requires the collection, dissemination and fusion of data from a range of sensors of widely varying complexity and scale - from satellite imaging to mobile phones. In order to achieve such interconnected sensing, and to avoid the dangers of data overload, it is necessary to re-examine the full signal processing chain from sensor to final decision. The need to reconcile the use of more computationally demanding algorithms and the potential massive increase in data with fundamental resource limitations, both in terms of computation and bandwidth, provides new mathematical and computational challenges. This has led in recent years to the exploration of a number of new techniques, such as, compressed sensing, adaptive sensor management and distributed processing techniques to minimize the amount of data that is acquired or transmitted through the sensor network while maximizing its relevance. While there have been a number of targeted research programs to explore these new ideas, such as the USs Integrated Sensing and Processing program and their Analog to Information program, this field is still generally in its infancy. This project will study the processing of multi-sensor systems in a coherent programme of work, from efficient sampling, through distributed data processing and fusion, to efficient implementations. Underpinning all this work, we will investigate the significant issues with implementing complex algorithms on small, lighter and lower power computing platforms. Exemplar challenges will be used throughout the project covering all major sensing domains - Radar/radio frequency, Sonar/acoustics, and electro-optics/infrared - to demonstrate the performance of the innovations we develop.

Agency: Cordis | Branch: FP7 | Program: CP | Phase: SEC-2010.4.2-2 | Award Amount: 11.69M | Year: 2011

The objective of PRACTICE project is to improve the preparedness and resilience of the EU member states and associated countries to an attack from a terrorist group using non conventional weapons such as CBRN (Chemical, Biological, Radiological and/or Nuclear agents) materials. The existing situation is characterized by a fragmented structure as regards technology, procedures, methods and organization on national level as well as EU-level. The project will be based on the development of a new toolbox focusing on 1) identification, organization and establishment of knowledge of critical elements in the event structure thorough studies of a wide selection of scenarios, real incidents and exercises and 2) analysis and identification of gaps in the current response situation and organization and integration of the allocated response capabilities or functions in a toolbox of equipment, procedures and methods and 3) an allocated system or kit for public information, decision-support, first-responder training and exercises. These response capabilities functions are to a great extent universal in character and independent of national organizational structures. The concept and developed system will therefore provide EU and member states with a flexible and integrated system for coordinated response to CBRN terrorist attack, which is easier to adapt to various national organizations and regulations. Particular attention will be given to integration and understanding of human factors and societal aspects in all the parts of the project. The final concept and integrated response system (toolbox) and subsystems will be tested and validated. A whole system demonstrator will be shown and tested in the final phases of the project.

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