On the relationship between compressive sensing and random sensor arrays

Lawrence Carin

doi:10.1109/MAP.2009.5432044

On the relationship between compressive sensing and random sensor arrays

Lawrence Carin

Research output: Contribution to journal › Article › peer-review

65 Scopus citations

Abstract

Random sensor arrays are examined from a compressive-sensing (CS) perspective. It is demonstrated that the natural random-array projections manifested by the media Green's function are consistent with the projection-type measurements associated with compressive sensing. This linkage allows the use of existing compressive-sensing theory to quantify the performance of random arrays, of interest for array design. The analysis demonstrates that the compressive-sensing theory is applicable to arrays in vacuum as well as in the presence of surrounding media; further, the presence of surrounding media with known properties may be used to improve array performance. © 2006 IEEE.

Original language	English (US)
Pages (from-to)	72-81
Number of pages	10
Journal	IEEE Antennas and Propagation Magazine
Volume	51
Issue number	5
DOIs	https://doi.org/10.1109/MAP.2009.5432044
State	Published - Oct 1 2009
Externally published	Yes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2021-02-09

Access to Document

10.1109/MAP.2009.5432044

Cite this

@article{139464f1529847408065efda5a2a334d,

title = "On the relationship between compressive sensing and random sensor arrays",

abstract = "Random sensor arrays are examined from a compressive-sensing (CS) perspective. It is demonstrated that the natural random-array projections manifested by the media Green's function are consistent with the projection-type measurements associated with compressive sensing. This linkage allows the use of existing compressive-sensing theory to quantify the performance of random arrays, of interest for array design. The analysis demonstrates that the compressive-sensing theory is applicable to arrays in vacuum as well as in the presence of surrounding media; further, the presence of surrounding media with known properties may be used to improve array performance. {\textcopyright} 2006 IEEE.",

author = "Lawrence Carin",

note = "Generated from Scopus record by KAUST IRTS on 2021-02-09",

year = "2009",

month = oct,

day = "1",

doi = "10.1109/MAP.2009.5432044",

language = "English (US)",

volume = "51",

pages = "72--81",

journal = "IEEE Antennas and Propagation Magazine",

issn = "1045-9243",

publisher = "IEEE Computer Society",

number = "5",

}

TY - JOUR

T1 - On the relationship between compressive sensing and random sensor arrays

AU - Carin, Lawrence

N1 - Generated from Scopus record by KAUST IRTS on 2021-02-09

PY - 2009/10/1

Y1 - 2009/10/1

N2 - Random sensor arrays are examined from a compressive-sensing (CS) perspective. It is demonstrated that the natural random-array projections manifested by the media Green's function are consistent with the projection-type measurements associated with compressive sensing. This linkage allows the use of existing compressive-sensing theory to quantify the performance of random arrays, of interest for array design. The analysis demonstrates that the compressive-sensing theory is applicable to arrays in vacuum as well as in the presence of surrounding media; further, the presence of surrounding media with known properties may be used to improve array performance. © 2006 IEEE.

AB - Random sensor arrays are examined from a compressive-sensing (CS) perspective. It is demonstrated that the natural random-array projections manifested by the media Green's function are consistent with the projection-type measurements associated with compressive sensing. This linkage allows the use of existing compressive-sensing theory to quantify the performance of random arrays, of interest for array design. The analysis demonstrates that the compressive-sensing theory is applicable to arrays in vacuum as well as in the presence of surrounding media; further, the presence of surrounding media with known properties may be used to improve array performance. © 2006 IEEE.

UR - http://ieeexplore.ieee.org/document/5432044/

UR - http://www.scopus.com/inward/record.url?scp=77949879796&partnerID=8YFLogxK

U2 - 10.1109/MAP.2009.5432044

DO - 10.1109/MAP.2009.5432044

M3 - Article

SN - 1045-9243

VL - 51

SP - 72

EP - 81

JO - IEEE Antennas and Propagation Magazine

JF - IEEE Antennas and Propagation Magazine

IS - 5

ER -

On the relationship between compressive sensing and random sensor arrays

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this