The blind QRD-DMS beamformer and its VLSI systolic designs for DS/CDMA systems

In this paper, we present a blindly adaptive beamforming algorithm which is based on the second order interference estimation to maximize the received SINR. Using the desired signature code and the code orthogonal to it, a new code filter is introduced to decompose the received signals into two parts: desired information and interference. The above method motivates us to develop the QR-decomposition based dominant eigenmode search (QRD-DMS) algorithm which is more numerically stable than the DMS one. The corresponding wavefront systolic architecture is also proposed for the VLSI implementation. Compared to the families of minimum mean square error (MMSE) algorithms which need training sequences, we have completed the maximum SINR families by proposing the QRD-DMS method which not only blindly updates the beamforming weights but converges as fast as the QRD-RLS method.