SAR imaging from randomly sampled phase history using compressive sensing

Amit Kumar Mishra*, Rohan Phogat, Shikhar Mann

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

Crynodeb

Reconstructing synthetic aperture Radar (SAR) images from gapped phase history or k space data, is a major problem for SAR engineers. In this work we use the newly proposed compressive sensing (CS) algorithms to form SAR images of randomly and sparsely sampled k space data. We also investigate the effect of adding phase noise of various degrees of severity in the sparse and random k space data. We show that CS based algorithms can intelligibly reconstruct SAR images from randomly sparse phase history data and can tolerate a good amount of phase noise corruption. Dantzig selector based CS algorithm was found to perform better than the usual l 1 norm based CS algorithm.

Iaith wreiddiolSaesneg
Teitl2012 13th International Radar Symposium, IRS-2012
CyhoeddwrIEEE Press
Tudalennau221-224
Nifer y tudalennau4
ISBN (Electronig)978-1-4577-1837-3
ISBN (Argraffiad)978-1-4577-1838-0
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 23 Mai 2012
Cyhoeddwyd yn allanolIe
Digwyddiad2012 13th International Radar Symposium, IRS-2012 - Warsaw, Gwlad Pŵyl
Hyd: 23 Mai 201225 Mai 2012

Cyfres gyhoeddiadau

EnwProceedings International Radar Symposium
ISSN (Argraffiad)2155-5753

Cynhadledd

Cynhadledd2012 13th International Radar Symposium, IRS-2012
Gwlad/TiriogaethGwlad Pŵyl
DinasWarsaw
Cyfnod23 Mai 201225 Mai 2012

Ôl bys

Gweld gwybodaeth am bynciau ymchwil 'SAR imaging from randomly sampled phase history using compressive sensing'. Gyda’i gilydd, maen nhw’n ffurfio ôl bys unigryw.

Dyfynnu hyn