Range focusing for large scene circular SAR

A recent circular synthetic aperture radar data collection contained various vehicles and calibration targets placed throughout a 5 km scene. By observing multiple orbits of the radar, the down-range distance measurements to scattering features show noticeable drift on the order of 2 m from orbit to orbit. The large scene contained 14 quad-trihedral (QT) calibration targets with radar cross sections that are similar to point targets in the elevation range of the scene. This paper presents an algorithm that uses the QTs to generate global range focusing parameters. Qualitative and quantitative results show the focusing provides a significant improvement to vehicle target discrimination.

[1]  Forest Lee-Elkin,et al.  An algorithm for wide aperture 3D SAR imaging with measured data , 2011, Defense + Commercial Sensing.

[2]  Forest Lee-Elkin Autofocus for 3D imaging , 2008, SPIE Defense + Commercial Sensing.

[3]  Lee C. Potter,et al.  3-D Imaging of Vehicles using Wide Aperture Radar , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[4]  William C. Snyder,et al.  Model-based fusion of multi-look SAR for ATR , 2002, SPIE Defense + Commercial Sensing.

[5]  LeRoy A. Gorham,et al.  A challenge problem for 2D/3D imaging of targets from a volumetric data set in an urban environment , 2007, SPIE Defense + Commercial Sensing.

[6]  Lee C. Potter,et al.  Classifying Vehicles in Wide-Angle Radar Using Pyramid Match Hashing , 2011, IEEE Journal of Selected Topics in Signal Processing.

[7]  LeRoy A. Gorham,et al.  Wide angle SAR data for target discrimination research , 2012, Defense + Commercial Sensing.

[8]  Thomas J. Kragh Minimum-entropy autofocus for three-dimensional SAR imaging , 2009, Defense + Commercial Sensing.

[9]  K. Sarabandi,et al.  Optimum corner reflectors for calibration of imaging radars , 1996 .