High-speed Cordic based parallel weight extraction for QRD-RLS adaptive filtering

In this paper, a very high-speed Cordic based parallel weight extraction algorithm for QRD-RLS adaptive filtering is developed using the matrix lookahead technique. The algorithm is based on inverse updating and is pipelined at fine-grain level. The proposed architecture can be operated at arbitrarily high sample rates, and consists of only Givens rotations which can be mapped onto a Jacobi specific dataflow processor. It requires a complexity of O(Mp/sup 2/) Givens rotations per sample period, where p is the size of the input data samples, and M is the pipelining level.