Covariance-updated QRD-RLS algorithm using a novel cost function

In this paper, a covariance-update QRD-RLS algorithm is proposed to a superexcellent cost function, which is based on Householder transformation. The proposed algorithm employs the Householder processing to obtain the QRD of the covariance-updated matrix, and with this algorithm, the throughput of a weight-update filter can be computed iteratively.