ROSE

Robust Sensor Array Processing

 Coordinatore TECHNISCHE UNIVERSITAET DARMSTADT 

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 Nazionalità Coordinatore Germany [DE]
 Totale costo 1˙531˙628 €
 EC contributo 1˙531˙628 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2008-AdG
 Funding Scheme ERC-AG
 Anno di inizio 2008
 Periodo (anno-mese-giorno) 2008-11-01   -   2012-10-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAET DARMSTADT

 Organization address address: Karolinenplatz 5
city: DARMSTADT
postcode: 64289

contact info
Titolo: Dr.
Nome: Christof-Matthias
Cognome: Neubrand
Email: send email
Telefono: +49 6151 166775
Fax: +49 6151 162478

DE (DARMSTADT) hostInstitution 0.00
2    TECHNISCHE UNIVERSITAET DARMSTADT

 Organization address address: Karolinenplatz 5
city: DARMSTADT
postcode: 64289

contact info
Titolo: Prof.
Nome: Alex
Cognome: Gershman
Email: send email
Telefono: -168915
Fax: -172197

DE (DARMSTADT) hostInstitution 0.00

Mappa


 Word cloud

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noise    multiple    signals    array    antenna    techniques    signal    sensor    performance    transmit    channel    estimation    beamforming    adaptive   

 Obiettivo del progetto (Objective)

'Sensor array signal processing has emerged a key technology for future radar, wireless communication, sonar, and microphone array systems. Sensor array processing methods are commonly used in multi-sensor systems to estimate signal parameters (such as source directions-of-arrival and waveforms), to extract signals-of-interest received on the background of multiple interferers and sensor noise, and to transmit signals to multiple locations in a spatially selective way. Current sensor array processing techniques are known to degrade severely if some of the exploited assumptions on the environment, sources, or antenna array become wrong or imprecise. In particular, the existing signal parameter estimation and beamforming methods are known to be very sensitive to any type of array manifold or multi-antenna channel mismodeling which may be caused by environmental non-stationarities, signal fading and scattering effects, array shape distortions, imperfect array calibration, unknown ambient colored noise, etc. As a result, advanced sensor array processing techniques can suffer a severe performance degradation in situations with even rather slight mismatches between the actual and presumed array responses. Therefore, robust sensor array processing techniques are currently of great demand. The main objective of the proposed research will be to develop new robust and computationally efficient sensor array signal processing methods for signal parameter estimation and receive and transmit adaptive beamforming in complicated environments with imperfectly known array and propagation channel parameters. The robust adaptive array processing and signal parameter estimation techniques developed during this project will be based on an explicit modeling of uncertainties in the array response and robust performance optimization. The proposed methods will provide substantial improvements of the robustness and computational complexity relative to the current array processing techniques.'

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