A new pipelined architecture of the LMS algorithm without degradation of convergence characteristics

Abstract

This paper proposes an adaptive algorithm, which can be pipelined, as an extension of the delayed least mean square (DLMS) adaptive algorithm. The proposed algorithm provides a capability to achieve high throughput with less degradation of the convergence characteristic than the DLMS algorithm. An architecture for pipelined implementation of the proposed algorithm is considered, and based on this, the conditions for the implementation are derived. An efficient implementation of the architecture with less hardware is also considered.