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    Adaptive Sub-Aperture Integration for Wide-Angle Synthetic Aperture Radar

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    Name:
    sub_Aper_Journ_Final.pdf
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    6.606Mb
    Format:
    PDF
    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Gishkori, Shahzad Sarwar cc
    Wright, David
    Daniel, Liam
    Shaikh, Mohammed Aasim
    Al-Naffouri, Tareq Y. cc
    Gashinova, Marina
    Mulgrew, Bernard
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Electrical and Computer Engineering Program
    KAUST, 127355 Thuwal, Makkah, Saudi Arabia,
    Date
    2021
    Permanent link to this record
    http://hdl.handle.net/10754/673927
    
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    Abstract
    In this paper, we present an adaptive sub-aperture integration method for wide-angle synthetic aperture radar (SAR) for improved imaging, with emphasis on short-to-medium range applications. In order to avoid full-aperture integration, traditional approaches use fixed-width sub-apertures, which may not conform to the persistence angle of the scatterers. Coherent integration gains over the aperture are possible if integration is carried out over the persistence angle of the scatterers, because integrating shorter than the persistence angle may spread the scattering response across multiple sub-apertures or, conversely, integrating more than the persistence angle may cause noise accumulation along with the useful signal. In this paper, we propose to use change-point detection methods to estimate the persistence widths of the scatterers, and consequently enhance the coherent integration gains, resulting in improved imaging. We compare our proposed methods with the standard integration approaches as well as a recently proposed adaptive integration approach. We provide qualitative and quantitative analyses to prove that our proposed methods outperform the existing approaches. We present experimental results on the real-data of our low-terahertz (THz) radar as well as a publicly available dataset to validate our claims.
    Citation
    Gishkori, S., Wright, D., Daniel, L., Shaikh, M. A., Al-Naffouri, T., Gashinova, M., & Mulgrew, B. (2021). Adaptive Sub-Aperture Integration for Wide-Angle Synthetic Aperture Radar. IEEE Transactions on Terahertz Science and Technology, 1–1. doi:10.1109/tthz.2021.3132150
    Publisher
    IEEE
    Journal
    IEEE Transactions on Terahertz Science and Technology
    DOI
    10.1109/TTHZ.2021.3132150
    Additional Links
    https://ieeexplore.ieee.org/document/9633154/
    https://ieeexplore.ieee.org/document/9633154/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9633154
    ae974a485f413a2113503eed53cd6c53
    10.1109/TTHZ.2021.3132150
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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