Maximum entropy (adaptive) filtering applied to radar clutter

An adaptive digital filtering scheme is presented which uses a lattice structure for adaptive prediction and elimination of radar clutter, using Burg´s algorithm for the computation of the lattice coefficients. This method computes a minimum-phase prediction error filter directly from the radar data, while not having the end-bias problems common to many filtering schemes. This permits quick adaptation to changing clutter conditions. An integration decay constant allows the filter to adapt to longer duration signals (clutter) while passing shorter duration signals (targets). The filter design is described and experimental results are discussed.