FPGA implementation of a second-order convolutive blind signal separation algorithm

The second-order sequential best rotation (SBR2) algorithm may be viewed as a blind signal separation algorithm. In this paper, we consider implementing SBR2 with a Field-Programmable Gate Array (FPGA). The proposed algorithm is an extension of the parallel Jacobi method to para-Hermitian polynomial matrices. Hardware implementation of the algorithm is achieved via a highly pipelined, non-systolic FPGA architecture. Here we demonstrate that the proposed architecture is scalable in terms of the size of the input para-Hermitian matrix.