Distributed image reconstruction for very large arrays in radio astronomy

André Ferrari; David Mary; Rémi Flamary; Cédric Richard

doi:10.1109/SAM.2014.6882424

Distributed image reconstruction for very large arrays in radio astronomy

André Ferrari
, David Mary
, Rémi Flamary
, Cédric Richard

Université de Nice

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

Current and future radio interferometric arrays such as LOFAR and SKA are characterized by a paradox. Their large number of receptors (up to millions) allow theoretically unprecedented high imaging resolution. In the same time, the ultra massive amounts of samples makes the data transfer and computational loads (correlation and calibration) order of magnitudes too high to allow any currently existing image reconstruction algorithm to achieve, or even approach, the theoretical resolution. We investigate here decentralized and distributed image reconstruction strategies which select, transfer and process only a fraction of the total data. The loss in MSE incurred by the proposed approach is evaluated theoretically and numerically on simple test cases.

langue originale	Anglais
titre	2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
Editeur	IEEE Computer Society
Pages	389-392
Nombre de pages	4
ISBN (imprimé)	9781479914814
Les DOIs	https://doi.org/10.1109/SAM.2014.6882424
état	Publié - 1 janv. 2014
Modification externe	Oui
Evénement	2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014 - A Coruna, Espagne Durée: 22 juin 2014 → 25 juin 2014

Série de publications

Nom	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (Electronique)	2151-870X

Une conférence

Une conférence	2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
Pays/Territoire	Espagne
La ville	A Coruna
période	22/06/14 → 25/06/14

Accès au document

10.1109/SAM.2014.6882424

Contient cette citation

Ferrari, A., Mary, D., Flamary, R., & Richard, C. (2014). Distributed image reconstruction for very large arrays in radio astronomy. Dans 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014 (p. 389-392). Article 6882422 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop). IEEE Computer Society. https://doi.org/10.1109/SAM.2014.6882424

@inproceedings{1f00a2ccc28c422cb377b4f00da72c44,

title = "Distributed image reconstruction for very large arrays in radio astronomy",

abstract = "Current and future radio interferometric arrays such as LOFAR and SKA are characterized by a paradox. Their large number of receptors (up to millions) allow theoretically unprecedented high imaging resolution. In the same time, the ultra massive amounts of samples makes the data transfer and computational loads (correlation and calibration) order of magnitudes too high to allow any currently existing image reconstruction algorithm to achieve, or even approach, the theoretical resolution. We investigate here decentralized and distributed image reconstruction strategies which select, transfer and process only a fraction of the total data. The loss in MSE incurred by the proposed approach is evaluated theoretically and numerically on simple test cases.",

author = "Andr{\'e} Ferrari and David Mary and R{\'e}mi Flamary and C{\'e}dric Richard",

year = "2014",

month = jan,

day = "1",

doi = "10.1109/SAM.2014.6882424",

language = "English",

isbn = "9781479914814",

series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",

publisher = "IEEE Computer Society",

pages = "389--392",

booktitle = "2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014",

note = "2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014 ; Conference date: 22-06-2014 Through 25-06-2014",

}

Ferrari, A, Mary, D, Flamary, R & Richard, C 2014, Distributed image reconstruction for very large arrays in radio astronomy. Dans 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014., 6882422, Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, IEEE Computer Society, p. 389-392, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014, A Coruna, Espagne, 22/06/14. https://doi.org/10.1109/SAM.2014.6882424

Distributed image reconstruction for very large arrays in radio astronomy. / Ferrari, André; Mary, David; Flamary, Rémi et al.
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014. IEEE Computer Society, 2014. p. 389-392 6882422 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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T1 - Distributed image reconstruction for very large arrays in radio astronomy

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AU - Mary, David

AU - Flamary, Rémi

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N2 - Current and future radio interferometric arrays such as LOFAR and SKA are characterized by a paradox. Their large number of receptors (up to millions) allow theoretically unprecedented high imaging resolution. In the same time, the ultra massive amounts of samples makes the data transfer and computational loads (correlation and calibration) order of magnitudes too high to allow any currently existing image reconstruction algorithm to achieve, or even approach, the theoretical resolution. We investigate here decentralized and distributed image reconstruction strategies which select, transfer and process only a fraction of the total data. The loss in MSE incurred by the proposed approach is evaluated theoretically and numerically on simple test cases.

AB - Current and future radio interferometric arrays such as LOFAR and SKA are characterized by a paradox. Their large number of receptors (up to millions) allow theoretically unprecedented high imaging resolution. In the same time, the ultra massive amounts of samples makes the data transfer and computational loads (correlation and calibration) order of magnitudes too high to allow any currently existing image reconstruction algorithm to achieve, or even approach, the theoretical resolution. We investigate here decentralized and distributed image reconstruction strategies which select, transfer and process only a fraction of the total data. The loss in MSE incurred by the proposed approach is evaluated theoretically and numerically on simple test cases.

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DO - 10.1109/SAM.2014.6882424

M3 - Conference contribution

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SN - 9781479914814

T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop

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BT - 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014

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T2 - 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014

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ER -

Distributed image reconstruction for very large arrays in radio astronomy

Résumé

Série de publications

Une conférence

Accès au document

Empreinte digitale

Contient cette citation