A novel strategy for radar imaging based on compressive sensing

Mariví Tello; Paco López-Dekker; Jordi J. Mallorquí

doi:10.1109/IGARSS.2008.4778965

A novel strategy for radar imaging based on compressive sensing

Mariví Tello^*, Paco López-Dekker, Jordi J. Mallorquí

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

26 Citations (Scopus)

Abstract

This paper aims at introducing the recent theory of compressive sensing to radar imaging systems in order to retrieve the imaged scene with better resolution and a reduced amount of collected samples. As a result of the application of the alternative imaging technique proposed, the use of matched filtering is avoided and the effect of its sidelobes in the images is drastically diminished. Furthermore, the amount of data to be stacked in the sensor and then downlinked to the ground station is meaningfully lower. This permits a more efficient management of resources.

Original language	English
Title of host publication	2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Volume	2
Edition	1
DOIs	https://doi.org/10.1109/IGARSS.2008.4778965
Publication status	Published - 2008
Externally published	Yes
Event	2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States Duration: 6 Jul 2008 → 11 Jul 2008

Conference

Conference	2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Country/Territory	United States
City	Boston, MA
Period	6/07/08 → 11/07/08

Keywords

Compressibility
Compressive sensing
Matched filter
Matching pursuit
Radar imaging
Sparseness

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10.1109/IGARSS.2008.4778965

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title = "A novel strategy for radar imaging based on compressive sensing",

abstract = "This paper aims at introducing the recent theory of compressive sensing to radar imaging systems in order to retrieve the imaged scene with better resolution and a reduced amount of collected samples. As a result of the application of the alternative imaging technique proposed, the use of matched filtering is avoided and the effect of its sidelobes in the images is drastically diminished. Furthermore, the amount of data to be stacked in the sensor and then downlinked to the ground station is meaningfully lower. This permits a more efficient management of resources.",

keywords = "Compressibility, Compressive sensing, Matched filter, Matching pursuit, Radar imaging, Sparseness",

author = "Mariv{\'i} Tello and Paco L{\'o}pez-Dekker and Mallorqu{\'i}, {Jordi J.}",

year = "2008",

doi = "10.1109/IGARSS.2008.4778965",

language = "English",

isbn = "9781424428083",

volume = "2",

booktitle = "2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings",

edition = "1",

note = "2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings ; Conference date: 06-07-2008 Through 11-07-2008",

}

Tello, M, López-Dekker, P & Mallorquí, JJ 2008, A novel strategy for radar imaging based on compressive sensing. in 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings. 1 edn, vol. 2, 4778965, 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings, Boston, MA, United States, 6/07/08. https://doi.org/10.1109/IGARSS.2008.4778965

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AU - López-Dekker, Paco

AU - Mallorquí, Jordi J.

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AB - This paper aims at introducing the recent theory of compressive sensing to radar imaging systems in order to retrieve the imaged scene with better resolution and a reduced amount of collected samples. As a result of the application of the alternative imaging technique proposed, the use of matched filtering is avoided and the effect of its sidelobes in the images is drastically diminished. Furthermore, the amount of data to be stacked in the sensor and then downlinked to the ground station is meaningfully lower. This permits a more efficient management of resources.

KW - Compressibility

KW - Compressive sensing

KW - Matched filter

KW - Matching pursuit

KW - Radar imaging

KW - Sparseness

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DO - 10.1109/IGARSS.2008.4778965

M3 - Conference contribution

AN - SCOPUS:66549111503

SN - 9781424428083

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BT - 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings

T2 - 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings

Y2 - 6 July 2008 through 11 July 2008

ER -

A novel strategy for radar imaging based on compressive sensing

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Keywords

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