Statistical analysis of real clutter at different range resolutions

By Ernesto Conte, Antonio De Maio, C. Galdi. IEEE Transactions on Aerospace and Electronic Systems, 2004

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Maximum likelihood estimation for compound-gaussian clutter with inverse gamma texture (2007, unknown): “…+1)®+1 dr: (7) Substituting k = ¯r2, and using the identities B(z,w) =R1 0 (t z¡1=(1+ t)z+w)dt= ¡ (z)¡ (w)=¡ (z+w) and ¡ (®+1) = ®¡ (®), we have the closed form EfRng= µ 1 ¯ ¶n=2 ® Z 1 0 kn=2 (k+1)®+1 dk = µ 1 ¯ ¶n=2 ¡ (n=2+1)¡ (®¡ n=2) ¡ (®) (8) which converges if and only if ® > n=2 [9].”
Impact of Sea Clutter Nonstationarity on Disturbance Covariance Matrix Estimation and CFAR Detector Performance (2010, background): “Furthermore, these studies show that a satisfactory fit of the clutter amplitude probability density function (apdf) at low grazing angles can be achieved through families of distributions containing a shape parameter in addition to the scale parameter [5], [14].”
Complex Elliptically Symmetric Distributions: Survey, New Results and Applications (2012, methodology): “As in [18] we focus our analysis on datasets 84, 85 and 86 taken at three different range resolutions.”