Constrained NLMS Algorithm with Variable Coefficient Reusing

In general, algorithms for adaptive arrays intend to emphasize desired signals while discriminating against interference signals. In this paper, a novel constrained normalized least mean-squares algorithm with improved robustness against noise is proposed. The devised algorithm requires a low computational burden and takes advantage of a variable reusing coefficient technique, in order to enhance ...