Comparison of optimum and linear prediction techniques for clutter cancellation

Two techniques for the adaptive cancellation of clutter in pulse radars are considered. The first, based on the maximisation of the signal/interference improvement, leads to an eigenvector problem; simpler suboptimal structures according to a straightforward model with a minimum number of parameters are considered. The second, based on the linear prediction of the interference, leads to a whitening (or prediction error) filter. The basic performance of both techniques is evaluated in a typical radar environment of two clutter sources.