Biparametric CFAR procedures for lognormal clutter

We consider procedures for constant false alarm rate in Lognormal clutter, accounting for variations of both a scale and a shape parameter of the clutter. Adaptivity to both parameters is obtained through biparametric estimation based on a sliding window surrounding the radar cell under test. We present some new procedures exploiting best linear unbiased estimation (BLUE) and compare them to a previous procedure called Log-t which uses maximum likelihood estimation. The comparison is carried on under homogeneous clutter environment and under instances of inhomogeneous environment (clutter edges and spurious targets). In the latter instances, some advantages of BLUE procedures are highlighted which stem from the opportunity of censoring.