Autofocusing of through-the-wall radar imagery under unknown wall characteristics.
The quality and reliability of through-the-wall radar imagery is governed, among other things, by the knowledge of the wall characteristics. Ambiguities in wall characteristics smear and blur the image, and also shift the imaged target positions. An autotechnique, b ased on higher order statistics, i s presented which corrects for errors under unknown walls. Simulation results show that the proposed technique provides high-quality focused images with target locations in close proximity to true target positions.
Ahmad
Fauzia
F
Radar Imaging Lab, Center for Advanced Communications, Villanova University, Villanova, PA 19085, USA. fauzia.ahmad@villanova.edu
Amin
Moeness G
MG
Mandapati
Govindaraju
G
D000465:Algorithms; D001185:Artificial Intelligence; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D011825:Radar