AN ADAPTIVE FILTER WITH ADAPTATION TO NONUNIFORMLY SPACED SAMPLES

A novel adaptive filter is proposed that adapts to the sample spacing as well as to the tap weights. Although in adaptive digital processing , the tapped-delay line usually has uniformly spaced taps, with the sp acing equal to symbol period or a fraction of symbol period, an adapti ve filter with a few taps should be adaptively arranged for nonuniform spacing for better convergence as the sampling timing varies. The con ventional nonuniformly spaced filters are not adaptively changed or no t arranged under the constraint of the acceptable mean-square error. I n this paper, a least-mean square (LMS)type algorithm is derived in wh ich an adaptive filter adaptively changes the amount of delay, as well as the filter coefficients. The performance of the proposed algorithm is investigated by computer simulation.