Abstract
The applicability of compressive sensing (CS) to inverse synthetic aperture radar (ISAR) imagery has been widely discussed over the past few years. In particular, CS-based ISAR image-reconstruction algorithms have been developed and their effectiveness proven when dealing with incomplete ISAR data. Resolution enhancement has also been identified as a case for which CS can be effectively applied to ISAR imagery. In this case, the acquired signal can be interpreted as incomplete data in the frequency/slow-time domain and CS used to reconstruct the super-resolved ISAR image. In this paper, an exhaustive performance analysis is carried out along with a comparison between CS and conventional super-resolution techniques. Several concepts and methods have been introduced in order to effectively define the performance, which is not simply based on visual inspection.
Original language | English |
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Article number | 8293847 |
Pages (from-to) | 1983-1997 |
Number of pages | 15 |
Journal | IEEE Transactions on Aerospace and Electronic Systems |
Volume | 54 |
Issue number | 4 |
DOIs | |
Publication status | Published - Aug 2018 |
Bibliographical note
Funding Information:This was supported in part by the European Defence Agency in the framework of the Radar Implementation of Compressive Sensing (RICS) project.
Publisher Copyright:
© 1965-2011 IEEE.
ASJC Scopus subject areas
- Aerospace Engineering
- Electrical and Electronic Engineering