Enhanced inverse synthetic aperture radar imagery using 2-D spectral estimation Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/ff365818f

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  • This research focused on the use of classical and modern two-dimensional spectral estimation techniques for enhancing inverse synthetic aperture radar (ISAR) imagery. 2-D Classical spectral estimation methods and 2-D modern parametric and non-parametric spectral estimation methods are applied to simulated and real data sets in order to achieve both range and cross-range resolution enhancement. After a basic introduction of radar fundamentals the concepts of image formation for ISAR imagery is developed from a 2-D matched filter method into 2-D Fourier based methods. The concepts of Zero-Doppler clutter subtraction and polar-to-cartesian interpolation are introduced and applied. 2-D Classical and modern spectral estimation methods are presented and integrated into image formation algorithms. A quantitative and qualitative assessment of the imagery product from each is made based on resolution, variance, and dynamic range. A Matlab toolbox for ISAR image formation of both simulated and measured ISAR data is developed. Alternative image formation techniques such as Hybrid algorithms and Time-Frequency Analysis are introduced.
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  • description.provenance : Made available in DSpace on 2009-05-27T18:06:49Z (GMT). No. of bitstreams: 1 David_R_Ohm.pdf: 2938656 bytes, checksum: c72b4575993b6d602a0269e2fef87b41 (MD5)
  • description.provenance : Approved for entry into archive by Linda Kathman(linda.kathman@oregonstate.edu) on 2009-05-27T18:05:16Z (GMT) No. of bitstreams: 1 David_R_Ohm.pdf: 2938656 bytes, checksum: c72b4575993b6d602a0269e2fef87b41 (MD5)
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  • description.provenance : Approved for entry into archive by Linda Kathman(linda.kathman@oregonstate.edu) on 2009-05-27T18:06:49Z (GMT) No. of bitstreams: 1 David_R_Ohm.pdf: 2938656 bytes, checksum: c72b4575993b6d602a0269e2fef87b41 (MD5)

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