Fang, Y., Chen, J., Wang, P. et al. (2 more authors) (2019) A novel image formation method for electromagnetic vortex SAR with orbital-angular-momentum. Progress In Electromagnetics Research M, 82. pp. 129-137. ISSN 1937-8726
Abstract
Electromagnetic (EM) vortex wave carrying orbital angular momentum (OAM) has attracted a lot of attention in radar imaging, due to its potential capability of new degree of freedom for information modulation. Most existing OAM-based radar imaging methods require abundant OAM modes to realize the azimuth resolution. Switching between the OAM modes frequently increases the burden of radar antenna and the complexity of beam steering. In this paper, a novel electromagnetic vortex synthetic aperture radar (EMV-SAR) model with equivalent squint imaging is established.The geometrical model and echo signal model are derived correspondingly. By analyzing the echo signal model, amplitude and phase modulation introduced by the OAM a ect the azimuth focusing, and traditional imaging algorithms are no longer applicable. Hence, a novel image formation method based on the traditional Chirp-Scaling (CS) algorithm is proposed for the EMV-SAR. The amplitude weighting function and phase modulation function are derived accurately, and high-precision focusing processing is achieved by modi ed CS algorithm. Point targets simulation results validate that the image focusing performance can be improved signi cantly using the proposed algorithm.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Copyright 2019 EMW Publishing. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 22 Aug 2019 08:38 |
Last Modified: | 22 Aug 2019 08:38 |
Status: | Published |
Publisher: | EMW Publishing |
Refereed: | Yes |
Identification Number: | 10.2528/pierm19011704 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:150011 |