Compressive sensing based ISAR: Performance evaluation

E. Giusti; A. Bacci; S. Tomei; M. Martorella

doi:10.1109/IRS.2015.7226312

Compressive sensing based ISAR: Performance evaluation

E. Giusti, A. Bacci, S. Tomei, M. Martorella

Engineering

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

Abstract

Compressive Sensing theory has been recently proven to be a valid tool to reconstruct ISAR images by using a limited amount of data samples. This property has gained the attention of the radar scientific community as it seems to overcome the Nyquist theorem. However, the capability of the CS to effectively reconstruct an ISAR image is still to be proven. From here, the need to provide the means to measure the CS based algorithm performance. A set of parameters to measure CS-based ISAR algorithm performance is provided in this paper and some examples are also shown by using real data.

Original language	English
Title of host publication	International Radar Symposium, IRS 2015 - Proceedings
Editors	Hermann Rohling, Hermann Rohling, Hermann Rohling
Publisher	IEEE Computer Society Press
Pages	398-403
Number of pages	6
ISBN (Electronic)	9783954048533, 9783954048533, 9783954048533
DOIs	https://doi.org/10.1109/IRS.2015.7226312
Publication status	Published - 26 Aug 2015
Event	16th International Radar Symposium, IRS 2015 - Dresden, Germany Duration: 24 Jun 2015 → 26 Jun 2015

Publication series

Name	Proceedings International Radar Symposium
Volume	2015-August
ISSN (Print)	2155-5753

Conference

Conference	16th International Radar Symposium, IRS 2015
Country/Territory	Germany
City	Dresden
Period	24/06/15 → 26/06/15

Bibliographical note

Publisher Copyright:
© 2015 German Institute of Navigation (DGON).

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Signal Processing
Electrical and Electronic Engineering
Astronomy and Astrophysics
Instrumentation

Access to Document

10.1109/IRS.2015.7226312

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Giusti, E., Bacci, A., Tomei, S., & Martorella, M. (2015). Compressive sensing based ISAR: Performance evaluation. In H. Rohling, H. Rohling, & H. Rohling (Eds.), International Radar Symposium, IRS 2015 - Proceedings (pp. 398-403). Article 7226312 (Proceedings International Radar Symposium; Vol. 2015-August). IEEE Computer Society Press. https://doi.org/10.1109/IRS.2015.7226312

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title = "Compressive sensing based ISAR: Performance evaluation",

abstract = "Compressive Sensing theory has been recently proven to be a valid tool to reconstruct ISAR images by using a limited amount of data samples. This property has gained the attention of the radar scientific community as it seems to overcome the Nyquist theorem. However, the capability of the CS to effectively reconstruct an ISAR image is still to be proven. From here, the need to provide the means to measure the CS based algorithm performance. A set of parameters to measure CS-based ISAR algorithm performance is provided in this paper and some examples are also shown by using real data.",

author = "E. Giusti and A. Bacci and S. Tomei and M. Martorella",

note = "Publisher Copyright: {\textcopyright} 2015 German Institute of Navigation (DGON).; 16th International Radar Symposium, IRS 2015 ; Conference date: 24-06-2015 Through 26-06-2015",

year = "2015",

month = aug,

day = "26",

doi = "10.1109/IRS.2015.7226312",

language = "English",

series = "Proceedings International Radar Symposium",

publisher = "IEEE Computer Society Press",

pages = "398--403",

editor = "Hermann Rohling and Hermann Rohling and Hermann Rohling",

booktitle = "International Radar Symposium, IRS 2015 - Proceedings",

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Giusti, E, Bacci, A, Tomei, S & Martorella, M 2015, Compressive sensing based ISAR: Performance evaluation. in H Rohling, H Rohling & H Rohling (eds), International Radar Symposium, IRS 2015 - Proceedings., 7226312, Proceedings International Radar Symposium, vol. 2015-August, IEEE Computer Society Press, pp. 398-403, 16th International Radar Symposium, IRS 2015, Dresden, Germany, 24/06/15. https://doi.org/10.1109/IRS.2015.7226312

Compressive sensing based ISAR: Performance evaluation. / Giusti, E.; Bacci, A.; Tomei, S. et al.
International Radar Symposium, IRS 2015 - Proceedings. ed. / Hermann Rohling; Hermann Rohling; Hermann Rohling. IEEE Computer Society Press, 2015. p. 398-403 7226312 (Proceedings International Radar Symposium; Vol. 2015-August).

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

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AU - Bacci, A.

AU - Tomei, S.

AU - Martorella, M.

PY - 2015/8/26

Y1 - 2015/8/26

N2 - Compressive Sensing theory has been recently proven to be a valid tool to reconstruct ISAR images by using a limited amount of data samples. This property has gained the attention of the radar scientific community as it seems to overcome the Nyquist theorem. However, the capability of the CS to effectively reconstruct an ISAR image is still to be proven. From here, the need to provide the means to measure the CS based algorithm performance. A set of parameters to measure CS-based ISAR algorithm performance is provided in this paper and some examples are also shown by using real data.

AB - Compressive Sensing theory has been recently proven to be a valid tool to reconstruct ISAR images by using a limited amount of data samples. This property has gained the attention of the radar scientific community as it seems to overcome the Nyquist theorem. However, the capability of the CS to effectively reconstruct an ISAR image is still to be proven. From here, the need to provide the means to measure the CS based algorithm performance. A set of parameters to measure CS-based ISAR algorithm performance is provided in this paper and some examples are also shown by using real data.

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Compressive sensing based ISAR: Performance evaluation

Abstract

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Conference

Bibliographical note

ASJC Scopus subject areas

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