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    Bistatic synthetic aperture imaging of moving targets

    Author
    Duman, Kaan
    View/Open
    177067_Duman_rpi_0185E_10757.pdf (7.755Mb)
    Other Contributors
    Yazici, Birsen; Gerhardt, Lester A; Wang, Meng; McLaughlin, Joyce;
    Date Issued
    2015-12
    Subject
    Electrical engineering
    Degree
    PhD;
    Terms of Use
    This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.;
    Metadata
    Show full item record
    URI
    https://hdl.handle.net/20.500.13015/1619
    Abstract
    This thesis studies imaging of moving targets in a bistatic SAR (Bi-SAR) configuration. Conventional SAR systems and associated image formation methods are optimized to image stationary scenes. The imaging of moving targets is a challenging task since these targets appear smeared in SAR images. Additionally, clutter due to stationary scatterers may occlude the relatively weak scattered signal from moving targets.; In the second part of the thesis, a theory is introduced to quantify the artifacts due to moving targets in Bi-SAR images. Next, this theory is extended to a two-channel Bi-SAR configuration to quantitatively analyze the moving target artifacts and to determine moving target signatures in displaced phase center antenna images. The results of the analysis are used to develop a novel method for the detection and velocity estimation of moving targets embedded in stationary clutter. The theory and methods are validated using simulated and real data.; The first part of this thesis presents theory, methods and algorithms for Bi-SAR imaging of moving targets. Starting from first principle, it presents and analyzes a bistatic received signal model from a moving scene. Next, it introduces a novel filtered backprojection type imaging method to reconstruct two-dimensional reflectivity images and an entropy optimization-based method for velocity estimation. The point spread function of the imaging operator is studied and a two-stage filter is designed to recover the correct scene reflectivity and to optimize the velocity estimation. The factors affecting image and velocity resolution are analyzed.;
    Description
    December 2015; School of Engineering
    Department
    Dept. of Electrical, Computer, and Systems Engineering;
    Publisher
    Rensselaer Polytechnic Institute, Troy, NY
    Relationships
    Rensselaer Theses and Dissertations Online Collection;
    Access
    Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.;
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    • RPI Theses Online (Complete)

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