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Novel Techniques for Enhancing SAR Imaging using Spatially Variant Apodization

Evers, Chris

Abstract Details

2011, Master of Science, Ohio State University, Electrical and Computer Engineering.
Conventional radar imaging techniques have long been plagued by problematic sidelobes and poor resolution. Indeed, numerous algorithms exist for combating these two issues. In tackling the first problem the technique spatially variant apodization (SVA) has been utilized for quite some time with tremendously positive results. A more recent enhancement to this technique known as Super-SVA has potential for tackling the second problem. In this thesis, a method is developed for utilizing Super-SVA to enhance down-range and cross-range resolution while minimizing sidelobes without distorting scatterer mainlobes.
Robert Burkholder (Committee Member)
Eric Walton (Committee Member)

Recommended Citations

Citations

  • Evers, C. (2011). Novel Techniques for Enhancing SAR Imaging using Spatially Variant Apodization [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1304016482

    APA Style (7th edition)

  • Evers, Chris. Novel Techniques for Enhancing SAR Imaging using Spatially Variant Apodization. 2011. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1304016482.

    MLA Style (8th edition)

  • Evers, Chris. "Novel Techniques for Enhancing SAR Imaging using Spatially Variant Apodization." Master's thesis, Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1304016482

    Chicago Manual of Style (17th edition)