Time-slotted FMCW MIMO ISAR with Compressive Sensing image reconstruction

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

doi:10.1109/CoSeRa.2015.7330298

Time-slotted FMCW MIMO ISAR with Compressive Sensing image reconstruction

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

Engineering

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

Abstract

Compressive Sensing (CS) has been proven as an effective tool to reconstruct ISAR images from incomplete data. This capability is exploited in this paper to reconstruct images from gapped data which emulate the data received in a MIMO system, in which the transmitted signals are orthogonal. The proposed architecture can be exploited in the design of a MIMO ISAR system. In this paper the signal modelling is presented and the architecture described. Results on real dataset prove the effectiveness of the proposed approach.

Original language	English
Title of host publication	2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	229-233
Number of pages	5
ISBN (Electronic)	9781479974207
DOIs	https://doi.org/10.1109/CoSeRa.2015.7330298
Publication status	Published - 16 Nov 2015
Event	3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015 - Pisa, Italy Duration: 17 Jun 2015 → 19 Jun 2015

Publication series

Name	2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015

Conference

Conference	3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015
Country/Territory	Italy
City	Pisa
Period	17/06/15 → 19/06/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Networks and Communications
Information Systems
Communication

Access to Document

10.1109/CoSeRa.2015.7330298

Cite this

Bacci, A., Giusti, E., Tomei, S., Martorella, M., & Berizzi, F. (2015). Time-slotted FMCW MIMO ISAR with Compressive Sensing image reconstruction. In 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015 (pp. 229-233). Article 7330298 (2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CoSeRa.2015.7330298

Bacci, A. ; Giusti, E. ; Tomei, S. et al. / Time-slotted FMCW MIMO ISAR with Compressive Sensing image reconstruction. 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015. Institute of Electrical and Electronics Engineers (IEEE), 2015. pp. 229-233 (2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015).

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Bacci, A, Giusti, E, Tomei, S, Martorella, M & Berizzi, F 2015, Time-slotted FMCW MIMO ISAR with Compressive Sensing image reconstruction. in 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015., 7330298, 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015, Institute of Electrical and Electronics Engineers (IEEE), pp. 229-233, 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015, Pisa, Italy, 17/06/15. https://doi.org/10.1109/CoSeRa.2015.7330298

Time-slotted FMCW MIMO ISAR with Compressive Sensing image reconstruction. / Bacci, A.; Giusti, E.; Tomei, S. et al.
2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015. Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 229-233 7330298 (2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015).

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

TY - GEN

T1 - Time-slotted FMCW MIMO ISAR with Compressive Sensing image reconstruction

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AU - Giusti, E.

AU - Tomei, S.

AU - Martorella, M.

AU - Berizzi, F.

PY - 2015/11/16

Y1 - 2015/11/16

N2 - Compressive Sensing (CS) has been proven as an effective tool to reconstruct ISAR images from incomplete data. This capability is exploited in this paper to reconstruct images from gapped data which emulate the data received in a MIMO system, in which the transmitted signals are orthogonal. The proposed architecture can be exploited in the design of a MIMO ISAR system. In this paper the signal modelling is presented and the architecture described. Results on real dataset prove the effectiveness of the proposed approach.

AB - Compressive Sensing (CS) has been proven as an effective tool to reconstruct ISAR images from incomplete data. This capability is exploited in this paper to reconstruct images from gapped data which emulate the data received in a MIMO system, in which the transmitted signals are orthogonal. The proposed architecture can be exploited in the design of a MIMO ISAR system. In this paper the signal modelling is presented and the architecture described. Results on real dataset prove the effectiveness of the proposed approach.

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DO - 10.1109/CoSeRa.2015.7330298

M3 - Conference contribution

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T3 - 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015

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BT - 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015

Y2 - 17 June 2015 through 19 June 2015

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Bacci A, Giusti E, Tomei S, Martorella M, Berizzi F. Time-slotted FMCW MIMO ISAR with Compressive Sensing image reconstruction. In 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015. Institute of Electrical and Electronics Engineers (IEEE). 2015. p. 229-233. 7330298. (2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015). doi: 10.1109/CoSeRa.2015.7330298

Time-slotted FMCW MIMO ISAR with Compressive Sensing image reconstruction

Abstract

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