Title : 
Statistical properties of radar backscatter data for imaging applications
         
        
            Author : 
Odendaal, J.W. ; Niemand, P.
         
        
            Author_Institution : 
Dept. of Electr., Univ. of Pretoria, South Africa
         
        
        
        
        
            fDate : 
3/1/2003 12:00:00 AM
         
        
        
        
            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. Non-Gaussianity, 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 : 
aircraft; backscatter; electromagnetic wave scattering; higher order statistics; radar imaging; 6 to 18 GHz; Airbus A310 scale model; Gaussianity; compact range; frequency-reversibility; higher order statistics; imaging applications; linearity; nonGaussianity; radar backscatter data; radar imaging algorithms; second-order statistics; statistical properties; Backscatter; Frequency measurement; Gaussian processes; Higher order statistics; Linearity; Radar applications; Radar imaging; Radar measurements; Radar scattering; Testing;
         
        
        
            Journal_Title : 
Antennas and Propagation, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TAP.2002.807372