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
Pages
-66
From page
67
To page
0
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
Serial Year
2003
Journal title
IEEE Transactions on Antennas and Propagation
Record number
79175
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