High-convergence-speed low-computation-complexity SVD algorithm for MIMO-OFDM systems

Abstract

Multiple-input multiple-output (MIMO) wireless communication systems with orthogonal frequency-division multiplexing (OFDM) achieve high spectral efficiency high channel capacity, and many MIMO-OFDM systems use the spatial multiplexing technique to improve the system performance. The MIMO-OFDM systems require the singular values and the corresponding singular vectors of the channel matrix by exploiting singular value decomposition (SVD). The information of the right singular-vector matrix can be fed back to the transmitter for linear precoding to improve the error performance when facing the channel matrix with rank deficiency problem. This work proposes a SVD algorithm with fast convergence speed, which is suitable for the MIMO channels with short coherent time. The proposed SVD algorithm has the following features: (1) low total computational complexity, (2) fast convergence speed, (3) the ability of reconfigurable to different numbers of transmitter and receiver antennas, and (4) insensitive to the dynamic range problem, which is suitable for hardware implementation.