The problem of extracting radar target information
from multi-aspect high-range-resolution data is examined. We
suggest a new non-imaging approach that is based on microlocal
analysis, which is a mathematical theory developed to handle highfrequency
asymptotics. In essence, we relate features of the target
to high-frequency components of the data. To deal with realistic
band-limited data, we propose an iterative algorithm (based on
the generalized Radon-Hough transform) in which we estimate the
high-frequency features of the data, one after another, and subtract
out the corresponding band-limited components. The algorithm
has been successfully tested on noisy data, and may have a
number of advantages over conventional imaging methods.This work was supported by the Office of Naval Research. M.C. also thanks Gary Hewer and the ASEE Summer Faculty Research Program for supporting her stay at China Lake
