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SAR Signal Processing Laboratory (SC893)

Course Level: Intermediate
Instructor: Mehrdad Soumekh, Univ. at Buffalo (United States)

Course Details

This hands-on course is intended to provide a laboratory experience using the fundamental signal processing algorithms for Synthetic Aperture Radar (SAR) systems. SAR MATLAB-based signal processing algorithms are provided by the instructor and analyzed during the course. The attendees are to bring their own laptops that are equipped with MATLAB.

Learning Outcomes

This course will enable you to:

  • perform chirp pulse compression and deskewing
  • perform spatial and spectral properties of synthetic aperture (spherical PM) signal
  • perform spatial and spectral properties of spotlight/stripmap SAR signal
  • perform wavefront (range migration) reconstruction for spotlight/stripmap SAR
  • perform polar format reconstruction for spotlight SAR
  • perform backprojection reconstruction for stripmap SAR
  • perform motion compensation for spotlight/stripmap SAR
  • perform moving target signature analysis
  • perform moving target detection with SAR (SAR-MTI)
Intended Audience

This course is intended for engineers and researchers with interest in developing signal processing algorithms for SAR. It is intendend as a companion to the related short course SC162 SAR Signal Processing, and attendees will benefit maximally by attending both courses.

Instructor

Mehrdad Soumekh has served as a consultant on signal and image processing for electronic sensors. In that capacity, he has worked for the Air Force Laboratories at Eglin, Rome and Wright Patterson, the Army Laboratories at Adelphi and Fort Belvoir, the Navy Laboratory at San Diego, MITRE and Northrop Grumman. He is the author of the books "Fourier Array Imaging" (Prentice Hall, 1994), and "Synthetic Aperture Radar Signal Processing with MATLAB Algorithms" (Wiley, 1999). He holds a patent for SAR wavefront (range migration or omega-k) reconstruction algorithm.

Note

Students must bring a laptop computer with MATLAB installed to the course.

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