Cell-averaging CFAR detection in compound clutter with spatially correlated texture and speckle

The authors study the problem of a CA-CFAR, cell-averaging constant false alarm rate, detection of a Swerling II target model embedded in spatially correlated K-distributed clutter. The clutter model consists of the product of two components called `texture' and `speckle'. Two cases are analysed; in the first case, the speckle samples are correlated and the texture samples are independent while in the second one, both components of the texture and speckle are correlated. Simulations for integer and half-integer values of the shape parameter are conducted to assess the detection performance and the results are presented and discussed.