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Ground-based moving target imaging in a circular strip-map synthetic aperture radar

Samareh Hashemi, S. R ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/APSAR.2015.7306333
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. In this paper a novel algorithm for detection, parameter estimation, and image formation of a moving target in ground-based circular strip-map synthetic aperture radar (GBCSAR) is proposed. Because multiple similar scans of the scene with short revisit time are possible, moving target detection is performed by clutter cancellation. Despite of the frequency-domain or multi-antenna clutter cancellation methods, this system has the capability of removing the clutter completely regardless of the target speed or the signal to clutter ratio (SCR). Estimation of target parameters and range-cell migration correction (RCMC) is based on comparing two consecutive target images. Finally the azimuth compression of the target image is performed using an autofocus algorithm
  6. Keywords:
  7. Autofocus ; Circular Synthetic Aperture Radar ; Ground Moving Target Imaging ; Algorithms ; Clutter (information theory) ; Frequency domain analysis ; Parameter estimation ; Radar ; Radar imaging ; Synthetic aperture radar ; Target tracking ; Auto-focus ; Auto-focus algorithm ; Azimuth compression ; Clutter cancellation ; Ground moving targets ; Moving target detection ; Range cell migration correction ; Signal-to-clutter ratios ; Radar target recognition
  8. Source: Proceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015, 1 September 2015 through 4 September 2015 ; 2015 , Pages 835-840 ; 9781467372961 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7306333