An efficient algorithm and systolic architecture for multiplechannel adaptive filtering

A multiple-input-multiple-output orthogonalization algorithm and its efficient systolic implementation are presented. The processing architecture is developed using a basic two-input-two-output decorrelation processing element as the primitive building block. Its features are discussed and compared to the approach of K. Gerlach and F.A. Studer (see ibid., vol.AP-34, no.3, p.458-462, 1986) which is based on the modified Gram-Schmidt (MGS) orthogonalization procedure. For simplicity of illustration in the development, batch processing is emphasized. The main features of the newly developed multiple-channel orthogonalization architecture are: (1) it requires no broadcasting of data and any given processing node in the structure only communicates with its neighboring nodes in pipelining fashion; (2) in terms of the total number of arithmetic operations, it is at least as efficient as the MGS approach; (3) the new architecture is developed in a systematic and bottom-up fashion; (4) it is an extremely regular and compact processing structure; (5) no unscrambling of the output channels is needed; and (6) the architecture presented places no restriction on the number of input channels