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Electronics 2017, 6(1), 21; doi:10.3390/electronics6010021

Compressed Sensing ISAR Reconstruction Considering Highly Maneuvering Motion

Faculty of Engineering and Natural Sciences, Sabanci University, Tuzla, Istanbul 34956, Turkey
Author to whom correspondence should be addressed.
Academic Editors: Nicolas H. Nicolas H. and John E. Ball
Received: 26 January 2017 / Revised: 6 March 2017 / Accepted: 7 March 2017 / Published: 11 March 2017
(This article belongs to the Special Issue Radio and Radar Signal Processing)
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In this report, we propose compressed sensing inverse synthetic aperture radar (ISAR) imaging in the presence of highly maneuvering motion using a modified orthogonal matching pursuit (OMP) reconstruction algorithm. Unlike existing methods where motion is limited to first- or second-order phase terms, we take into account realistic motion of a maneuvering target that can involve a third-order phase term corresponding to the rate of rotational acceleration. In addition, unlike existing fixed dictionary-based methods, which require designing a large dictionary that needs to take into account all of the possible motion parameters, we propose a modified OMP reconstruction method that requires a dictionary only based on the first-order phase term and estimates the secondand third-order phase terms using an optimization algorithm. Simulation examples and comparison with existing methods show the viability of our approach for imaging moving targets consisting of higher order motion. View Full-Text
Keywords: inverse synthetic aperture radar; compressed sensing; high maneuvering motion; rotational acceleration rate; moving object imaging inverse synthetic aperture radar; compressed sensing; high maneuvering motion; rotational acceleration rate; moving object imaging

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Khwaja, A.S.; Cetin, M. Compressed Sensing ISAR Reconstruction Considering Highly Maneuvering Motion. Electronics 2017, 6, 21.

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