Dantzig selector based compressive sensing for Radar image enhancement

Shikhar Mann; Rohan Phogat; Amit Kumar Mishra

doi:10.1109/INDCON.2010.5712730

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 Cynhadledd › Trafodion Cynhadledd (ISBN)

3 Dyfyniadau (Scopus)

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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 wreiddiol	Saesneg
Teitl	Proceedings of the 2010 Annual IEEE India Conference
Is-deitl	Green Energy, Computing and Communication, INDICON 2010
Cyhoeddwr	Institute of Electrical and Electronics Engineers
ISBN (Electronig)	978-1-4244-9074-5
ISBN (Argraffiad)	978-1-4244-9072-1
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/INDCON.2010.5712730
Statws	Cyhoeddwyd - 17 Rhag 2010
Cyhoeddwyd yn allanol	Ie
Digwyddiad	2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010 - Kolkata, India Hyd: 17 Rhag 2010 → 19 Rhag 2010

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

Cynhadledd

Cynhadledd	2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010
Gwlad/Tiriogaeth	India
Dinas	Kolkata
Cyfnod	17 Rhag 2010 → 19 Rhag 2010

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10.1109/INDCON.2010.5712730

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Mann, S., Phogat, R., & Mishra, A. K. (2010). Dantzig selector based compressive sensing for Radar image enhancement. Yn Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010 erthygl 5712730 (Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/INDCON.2010.5712730

Mann, Shikhar ; Phogat, Rohan ; Mishra, Amit Kumar. / Dantzig selector based compressive sensing for Radar image enhancement. Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010. Institute of Electrical and Electronics Engineers, 2010. (Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010).

@inproceedings{083c585e5e854aa0880bd725dea30d34,

title = "Dantzig selector based compressive sensing for Radar image enhancement",

abstract = "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.",

author = "Shikhar Mann and Rohan Phogat and Mishra, \{Amit Kumar\}",

year = "2010",

month = dec,

day = "17",

doi = "10.1109/INDCON.2010.5712730",

language = "English",

isbn = "978-1-4244-9072-1",

series = "Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010",

publisher = "Institute of Electrical and Electronics Engineers",

booktitle = "Proceedings of the 2010 Annual IEEE India Conference",

address = "United States of America",

note = "2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010 ; Conference date: 17-12-2010 Through 19-12-2010",

}

Mann, S, Phogat, R & Mishra, AK 2010, Dantzig selector based compressive sensing for Radar image enhancement. yn Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010., 5712730, Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010, Institute of Electrical and Electronics Engineers, 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010, Kolkata, India, 17 Rhag 2010. https://doi.org/10.1109/INDCON.2010.5712730

Dantzig selector based compressive sensing for Radar image enhancement. / Mann, Shikhar; Phogat, Rohan; Mishra, Amit Kumar.
Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010. Institute of Electrical and Electronics Engineers, 2010. 5712730 (Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010).

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (ISBN)

TY - GEN

T1 - Dantzig selector based compressive sensing for Radar image enhancement

AU - Mann, Shikhar

AU - Phogat, Rohan

AU - Mishra, Amit Kumar

PY - 2010/12/17

Y1 - 2010/12/17

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/79952467637

U2 - 10.1109/INDCON.2010.5712730

DO - 10.1109/INDCON.2010.5712730

M3 - Conference Proceeding (ISBN)

AN - SCOPUS:79952467637

SN - 978-1-4244-9072-1

T3 - Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010

BT - Proceedings of the 2010 Annual IEEE India Conference

PB - Institute of Electrical and Electronics Engineers

T2 - 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010

Y2 - 17 December 2010 through 19 December 2010

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Mann S, Phogat R, Mishra AK. Dantzig selector based compressive sensing for Radar image enhancement. Yn Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010. Institute of Electrical and Electronics Engineers. 2010. 5712730. (Proceedings of the 2010 Annual IEEE India Conference: Green Energy, Computing and Communication, INDICON 2010). doi: 10.1109/INDCON.2010.5712730

Dantzig selector based compressive sensing for Radar image enhancement

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