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Aperture undersampling using compressive sensing for synthetic aperture stripmap imaging

Leier, S. ; Zoubir, A. M. :
Aperture undersampling using compressive sensing for synthetic aperture stripmap imaging.
[Online-Edition: http://dx.doi.org/10.1186/1687-6180-2014-156]
In: EURASIP Journal on Advances in Signal Processing, 2014 (1) pp. 1-14. ISSN 1687-6180
[Artikel], (2014)

Offizielle URL: http://dx.doi.org/10.1186/1687-6180-2014-156

Kurzbeschreibung (Abstract)

Synthetic aperture imaging is a high-resolution imaging technique employed in radar and sonar applications, which construct a large aperture by constantly transmitting pulses while moving along a scene of interest. In order to avoid azimuth image ambiguities, spatial sampling requirements have to be fulfilled along the aperture trajectory. The latter, however, limits the maximum speed and, therefore, the coverage rate of the imaging system. This paper addresses the emerging field of compressive sensing for stripmap synthetic aperture imaging using transceiver as well as single-transmitter and multi-receiver systems so as to overcome the spatial Nyquist criterion. As a consequence, future imaging systems will be able to significantly reduce their mission time due to an increase in coverage rate. We demonstrate the capability of our proposed compressive sensing approach to at least double the maximum sensor speed based on synthetic data and real data examples. Simultaneously, azimuth image ambiguities are successfully suppressed. The real acoustical measurements are obtained by a small-scale ultrasonic synthetic aperture laboratory system.

Typ des Eintrags: Artikel
Erschienen: 2014
Autor(en): Leier, S. ; Zoubir, A. M.
Titel: Aperture undersampling using compressive sensing for synthetic aperture stripmap imaging
Sprache: Deutsch
Kurzbeschreibung (Abstract):

Synthetic aperture imaging is a high-resolution imaging technique employed in radar and sonar applications, which construct a large aperture by constantly transmitting pulses while moving along a scene of interest. In order to avoid azimuth image ambiguities, spatial sampling requirements have to be fulfilled along the aperture trajectory. The latter, however, limits the maximum speed and, therefore, the coverage rate of the imaging system. This paper addresses the emerging field of compressive sensing for stripmap synthetic aperture imaging using transceiver as well as single-transmitter and multi-receiver systems so as to overcome the spatial Nyquist criterion. As a consequence, future imaging systems will be able to significantly reduce their mission time due to an increase in coverage rate. We demonstrate the capability of our proposed compressive sensing approach to at least double the maximum sensor speed based on synthetic data and real data examples. Simultaneously, azimuth image ambiguities are successfully suppressed. The real acoustical measurements are obtained by a small-scale ultrasonic synthetic aperture laboratory system.

Titel der Zeitschrift, Zeitung oder Schriftenreihe: EURASIP Journal on Advances in Signal Processing
Band: 2014
(Heft-)Nummer: 1
Fachbereich(e)/-gebiet(e): Fachbereich Elektrotechnik und Informationstechnik > Signalverarbeitung
Fachbereich Elektrotechnik und Informationstechnik
Hinterlegungsdatum: 17 Mär 2016 12:49
Offizielle URL: http://dx.doi.org/10.1186/1687-6180-2014-156
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