Yang, W. orcid.org/0000-0001-8935-294X, Guo, J. orcid.org/0000-0002-9935-7872, Chen, J. orcid.org/0000-0002-9370-3965 et al. (4 more authors) (2022) A novel channel inconsistency estimation method for azimuth multichannel SAR based on maximum normalized image sharpness. IEEE Transactions on Geoscience and Remote Sensing, 60. 5237916. ISSN 0196-2892
Abstract
For azimuth multichannel synthetic aperture radar (SAR), unavoidable inconsistency errors between channels can degrade SAR image quality severely, leading to possible ghost targets, image defocusing, and so on. To address this issue, a novel channel inconsistency estimation method is proposed based on maximum normalized image sharpness (NIS). First, channel amplitude and time delay errors are corrected in the coarse compensation step. Then, images of each channel are attained by azimuth spectrum recovery and imaging processing. Next, range-variant channel phase errors are estimated via optimizing NIS, which reaches the maximum value when the image is focused well or ghost targets are suppressed completely. The Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm is employed to get the optimal solution based on the derived gradient of the objective function. Finally, the ultimate image is formed by adding up phase-compensated images of each channel. By optimizing the focused image quality, the proposed algorithm achieves high estimation accuracy. Simulated data and real multichannel SAR data are processed 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: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Channel estimation; Synthetic aperture radar; Azimuth; Estimation; Delay effects; Antennas; Signal to noise ratio; Azimuth multichannel synthetic aperture radar (SAR); channel inconsistency error estimation; high-resolution and wide-swath (HRWS); normalized image sharpness (NIS) |
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: | 07 Feb 2023 12:00 |
Last Modified: | 04 Nov 2023 01:13 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/tgrs.2022.3219818 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:196064 |