Systolic arrays for implementation of order-recursive least-squares adaptive filtering algorithms

Abstract

Three systolic arrays suitable for implementation of order-recursive least-squares (ORLS) adaptive algorithms are considered. It is shown that they can be constructed using two types of elementary cells. A classification of systolic implementations of the ORLS adaptive algorithms is given by exploiting the possible variations of the elementary cells. The investigation of the array structures and variations of the elementary cells leads to a systematic approach to designing reconfigurable systolic arrays for implementation of ORLS algorithms. As an application of this approach, a novel least-squares (LS) lattice algorithm based on Givens rotations is derived.<>