3D electromagnetic imaging using compressive sensing

Marija Nikolic; Gongguo Tang; Arye Nehorai

doi:10.1109/SAM.2010.5606756

3D electromagnetic imaging using compressive sensing

Marija Nikolic, Gongguo Tang, Arye Nehorai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

We develop the application of compressive sensing (CS) for solving general inverse electromagnetic problems such as three-dimensional (3D) microwave imaging. The goal is to estimate locations of unknown, but sparse targets, hidden inside dielectric bodies. The potential of CS for localizing sparse targets in vacuum or buried in ground was shown in previous work. We extend the proposed schemes by considering arbitrary embedding medium and exploiting dual-polarized measurements. We compare the performance of CS and beamforming in the breast-cancer estimation problem.

Original language	English
Title of host publication	2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010
Pages	37-40
Number of pages	4
DOIs	https://doi.org/10.1109/SAM.2010.5606756
State	Published - 2010
Event	2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010 - Jerusalem, Israel Duration: Oct 4 2010 → Oct 7 2010

Publication series

Name	2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010

Conference

Conference	2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010
Country/Territory	Israel
City	Jerusalem
Period	10/4/10 → 10/7/10

Keywords

Breast cancer
Compressive sensing
Inverse scattering
Microwave imaging
Radar
Sparse signal processing

Access to Document

10.1109/SAM.2010.5606756

Cite this

@inproceedings{a01ce37b6c0345e5a630848d900c2264,

title = "3D electromagnetic imaging using compressive sensing",

abstract = "We develop the application of compressive sensing (CS) for solving general inverse electromagnetic problems such as three-dimensional (3D) microwave imaging. The goal is to estimate locations of unknown, but sparse targets, hidden inside dielectric bodies. The potential of CS for localizing sparse targets in vacuum or buried in ground was shown in previous work. We extend the proposed schemes by considering arbitrary embedding medium and exploiting dual-polarized measurements. We compare the performance of CS and beamforming in the breast-cancer estimation problem.",

keywords = "Breast cancer, Compressive sensing, Inverse scattering, Microwave imaging, Radar, Sparse signal processing",

author = "Marija Nikolic and Gongguo Tang and Arye Nehorai",

year = "2010",

doi = "10.1109/SAM.2010.5606756",

language = "English",

isbn = "9781424489770",

series = "2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010",

pages = "37--40",

booktitle = "2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010",

note = "2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010 ; Conference date: 04-10-2010 Through 07-10-2010",

}

Nikolic, M, Tang, G & Nehorai, A 2010, 3D electromagnetic imaging using compressive sensing. in 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010., 5606756, 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010, pp. 37-40, 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010, Jerusalem, Israel, 10/4/10. https://doi.org/10.1109/SAM.2010.5606756

3D electromagnetic imaging using compressive sensing. / Nikolic, Marija; Tang, Gongguo; Nehorai, Arye.
2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010. 2010. p. 37-40 5606756 (2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - 3D electromagnetic imaging using compressive sensing

AU - Nikolic, Marija

AU - Tang, Gongguo

AU - Nehorai, Arye

PY - 2010

Y1 - 2010

N2 - We develop the application of compressive sensing (CS) for solving general inverse electromagnetic problems such as three-dimensional (3D) microwave imaging. The goal is to estimate locations of unknown, but sparse targets, hidden inside dielectric bodies. The potential of CS for localizing sparse targets in vacuum or buried in ground was shown in previous work. We extend the proposed schemes by considering arbitrary embedding medium and exploiting dual-polarized measurements. We compare the performance of CS and beamforming in the breast-cancer estimation problem.

AB - We develop the application of compressive sensing (CS) for solving general inverse electromagnetic problems such as three-dimensional (3D) microwave imaging. The goal is to estimate locations of unknown, but sparse targets, hidden inside dielectric bodies. The potential of CS for localizing sparse targets in vacuum or buried in ground was shown in previous work. We extend the proposed schemes by considering arbitrary embedding medium and exploiting dual-polarized measurements. We compare the performance of CS and beamforming in the breast-cancer estimation problem.

KW - Breast cancer

KW - Compressive sensing

KW - Inverse scattering

KW - Microwave imaging

KW - Radar

KW - Sparse signal processing

UR - http://www.scopus.com/inward/record.url?scp=78650111628&partnerID=8YFLogxK

U2 - 10.1109/SAM.2010.5606756

DO - 10.1109/SAM.2010.5606756

M3 - Conference contribution

AN - SCOPUS:78650111628

SN - 9781424489770

T3 - 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010

SP - 37

EP - 40

BT - 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010

T2 - 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2010

Y2 - 4 October 2010 through 7 October 2010

ER -

3D electromagnetic imaging using compressive sensing

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this