Synthetic Aperture Imaging of Direction- and Frequency-Dependent Reflectivities Articles uri icon

publication date

  • January 2016

start page

  • 52

end page

  • 81

volume

  • 9

International Standard Serial Number (ISSN)

  • 1936-4954

abstract

  • We introduce a synthetic aperture imaging framework that takes into consideration directional dependence of the reflectivity that is to be imaged, as well as its frequency dependence. We use an l(1) minimization approach that is coordinated with data segmentation so as to fuse information from multiple subapertures and frequency subbands. We analyze this approach from first principles and assess its performance with numerical simulations in an X-band radar regime.

keywords

  • synthetic aperture imaging; reflectivity; minimal support optimizations; simultaneous sparse approximation; multiple-measurement vectors; convex relaxation; optimization; algorithms