Title of article :
Statistical properties of radar backscatter data for imaging applications
Author/Authors :
J.W.، Odendaal, نويسنده , , P.، Niemand, نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Abstract :
Traditionally radar imaging algorithms implement second-order statistics. In this article, the statistical properties, (Gaussianity, linearity, and frequency-reversibility) of measured backscattered radar data are evaluated in order to determine the statistical dependence of radar data. NonGaussianity, nonlinearity, or frequency-irreversibility favors the use of higher order statistics, rather than second-order statistics in modeling radar backscatter data for imaging applications. The backscatter radar data from a scale model Airbus A310 was measured in a compact range and used for this investigation.
Keywords :
air pollution , Bottom-up , Carbon dioxide , Greenhouse gas , ozone , Top-down , predator-prey , atmospheric change , pheromone
Journal title :
IEEE Transactions on Antennas and Propagation
Journal title :
IEEE Transactions on Antennas and Propagation