Abstract
Recently there has been a growing interest in the application of polynomial matrix decomposition methods to the problem of efficient decoding of multiple-input multiple- output (MIMO) communication channels. Essentially, this type of approach decouples the frequency selective MIMO channel into a number of independent, frequency selective, single-input single- output (SISO) sub-channels by way of a polynomial singular- value decomposition (PSVD) or polynomial QR decomposition (PQRD) with successive interference cancellation. In this paper, we investigate a new PQRD algorithm, namely SM-PQRD, which is based on the concept of recently developed sequential matrix diagonalization (SMD). We also propose a new variant of SM- PQRD, namely MESM-PQRD to minimize computational complexity. Simulation results show that the new PQRD converges faster than state of the art algorithms. The applicability of the proposed algorithm is demonstrated for a frequency selective MIMO channel equalization problem.
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