Dantzig selector based compressive sensing for Radar image enhancement

Shikhar Mann*, Rohan Phogat, Amit Kumar Mishra

*Awdur cyfatebol y gwaith hwn

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

3 Dyfyniadau (Scopus)

Crynodeb

Compressive sensing (CS) is the technique for acquiring and reconstructing a signal utilizing the apriori knowledge that it is sparse in a certain domain. This paper investigates the application of this technique to radar imaging. Present radar systems operate on high bandwidths and demands high sample rates following the Nyquist-Shannon theorem. Compressive Sensing can prove to be a good alternative to reduce data handling, complexity, weight, power demands and costs of the existing radar systems. There are two major novelties in this work. First of all we have used Dantzig selector based CS which gives better result when applied on radar images than that using the conventional l1-norm based CS. Secondly, we also show that Dantzig selector based CS supresses speckle noise in radar images. We demonstrate the results on both simulated and real radar images.

Iaith wreiddiolSaesneg
TeitlProceedings of the 2010 Annual IEEE India Conference
Is-deitlGreen Energy, Computing and Communication, INDICON 2010
CyhoeddwrIEEE Press
ISBN (Electronig)978-1-4244-9074-5
ISBN (Argraffiad)978-1-4244-9072-1
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 17 Rhag 2010
Cyhoeddwyd yn allanolIe
Digwyddiad2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010 - Kolkata, India
Hyd: 17 Rhag 201019 Rhag 2010

Cyfres gyhoeddiadau

EnwProceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010

Cynhadledd

Cynhadledd2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010
Gwlad/TiriogaethIndia
DinasKolkata
Cyfnod17 Rhag 201019 Rhag 2010

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