Statistical Analysis of Sea Clutter at Low Grazing Angle

A lot of literatures indicate that, the statistical characteristics of sea clutter at low grazing angle can be modeled as compound Gaussian process, which is the product of speckle with shorter coherent length and texture with longer coherent length, and is non-Gaussian, non-homogeneous, and non-stationary. In this paper, for the X-band sea clutter, with different range resolutions and polarization, the extraction algorithm of texture is given, and power spectrum density of clutter is analyzed at first. The results show that the power spectrum density of clutter can be modeled as exponential model. Secondly, the non-Gaussian of clutter is analyzed in temporal and spatial domain, and the results show that the amplitude probability density function can be fit to the generalized K distribution with Log-Normal texture. The non-stationarity and non-homogeneity of sea clutter is analyzed at last.