An Efficient and Accurate GB-SAR Imaging Algorithm Based on the Fractional Fourier Transform
- Submitting institution
-
The University of West London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12035
- Type
- D - Journal article
- DOI
-
10.1109/TGRS.2019.2924803
- Title of journal
- IEEE Transactions on Geoscience and Remote Sensing
- Article number
- -
- First page
- 9081
- Volume
- 57
- Issue
- 11
- ISSN
- 0196-2892
- Open access status
- Deposit exception
- Month of publication
- -
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The significance of this paper is in the development of an advanced and accurate imaging method for ground based synthetic aperture radar (GB-SAR) system or other radar systems that could be formed by a physical or synthetic linear aperture. It takes that advantage of the optimal transform the spatial frequency changes under the fractional Fourier transform. The proposed approach could obtain high precision imaging quality, meanwhile using a low computational cost. Both the numerical simulation and the field GB-SAR experiment show that the algorithm is more suitable for the high precision GB-SAR imaging, especially for the near-field.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -