Guo, J., Chen, J., Liu, W. orcid.org/0000-0003-2968-2888 et al. (2 more authors) (2020) An improved airborne multichannel SAR imaging method with motion compensation and range-variant channel mismatch correction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13. pp. 5414-5423. ISSN 1939-1404
Abstract
To obtain a high-resolution and wide-swath image, the azimuth multichannel technique has been widely used in synthetic aperture radar (SAR) systems to overcome the contradiction between the wide swath and high pulse repetition frequency. For a high image quality, channel mismatch correction is an essential step in the multichannel SAR data imaging. However, in the case of airborne multichannel SAR, motion errors will severely degrade the performance of channel mismatch correction. To deal with this problem, this article proposes an improved airborne multichannel SAR imaging method with motion compensation, and range-variant channel mismatch correction. First, motion errors are compensated based on resampling and phase compensation. Then, the time-delay and constant gain-phase errors between channels are estimated and corrected, followed by the range-variant phase error correction based on a novel range-down-sampling method, which reduces the influence of motion errors on the channel mismatch correction significantly. Finally, simulated and real data processing results are used to demonstrate the effectiveness of the proposed method.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
Keywords: | Azimuth; Channel estimation; Synthetic aperture radar; Doppler effect; Delay effects; Estimation; Motion compensation; Channel mismatch estimation; multichannel |
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: | 06 Oct 2020 11:03 |
Last Modified: | 06 Oct 2020 11:03 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/jstars.2020.3023390 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:165806 |