Compressed sensing ISAR reconstruction considering highly maneuvering motion

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Khwaja, Ahmed Shaharyar and Çetin, Müjdat (2017) Compressed sensing ISAR reconstruction considering highly maneuvering motion. Electronics, 6 (1). ISSN 2079-9292

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Official URL: http://dx.doi.org/10.3390/electronics6010021


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 second- and 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.

Item Type:Article
Uncontrolled Keywords:inverse synthetic aperture radar; compressed sensing; high maneuvering motion; rotational acceleration rate; moving object imaging
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-4661 Electrical engineering. Electronics Nuclear engineering
ID Code:31338
Deposited By:Müjdat Çetin
Deposited On:15 May 2017 14:48
Last Modified:22 May 2019 13:47

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