Adaptive suppression of changing clutter and interference with unknown spectral statistics in the sense of minimum residue noise power

An adaptive technique for generating filter weight for the rejection of clutter and interference with unknown spectral statistics is presented. The adaptive processor generates the average weight vector in the sense of the minimum residue noise power based on the injected noise-level vector in the weight control algorithm. This can be utilized to identify and reject an unknown sequence of the clutter signal without making use of a modeling procedure. The generated weights using the clutter signal returned from a particular azimuth-range space can be stored and updated at the subsequent scan in the same azimuth-range space. The effect of clutter residue noise is on the null adaptation rate and the system improvement factor is examined. Simulation results show the effectiveness of the proposed method in the changing clutter and interference rejection capability. The digital signal processing implementation concept is suggested for this processor