Clutter processing using K-distributions for digital radars with increased sensitivity

This paper presents a unique false alarm mitigation approach for nonhomogeneous clutter, which is problematic for digital radars with increased sensitivity. A clutter map is formed containing estimates of the two parameters for the K-distribution. The map applies the new thresholds to the data. The false alarm rate is reduced by a factor of 1000 due to the improved accuracy in modeling the clutter distribution tail.