A high sampling rate delayed LMS filter architecture

The problem of implementing a high sampling rate transversal form adaptive filter is investigated. A highly pipelined systolic-type alternative to the conventional LMS adaptive filter is presented. The proposed system consists of a linear array of identical processing modules specifically suited to the computational requirements of the delayed LMS algorithm. The resulting adaptive filter structure can accommodate very high sampling rates, which are independent of the filter order. The performance of the system is analyzed in terms of computational speedup and maximum sampling rate, and the effect of adaptation delay on algorithm convergence is addressed