Iterative Superlinear-Convergence SVD Beamforming Algorithm and VLSI Architecture for MIMO-OFDM Systems

作者：Zhan Cheng Zhou^*; Chen Yen Liang; Wu An Yeu

来源：IEEE Transactions on Signal Processing, 2012, 60(6): 3264-3277.

DOI：10.1109/TSP.2012.2190405

• Beamforming
• multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM)
• precoding
• singular value decomposition (SVD)
• superlinear

In this paper, we propose a singular value decomposition (SVD) algorithm with superlinear-convergence rate, which is suitable for the beamforming mechanism in MIMO-OFDM channels with short coherent time, or short training sequence. The proposed superlinear-convergence SVD (SL-SVD) algorithm has the following features: 1) superlinear-convergence rate; 2) the ability of being extended smaller numbers of transmit and receive antennas; 3) being insensitive to dynamic range problems during the iterative process in hardware implementations; and 4) low computational cost. We verify the proposed design by using the VLSI implementation with CMOS 90 nm technology. The post-layout result of the design has the feature of 0.48 core area and 18 mW power consumption. Our design can achieve 7 Mchannel-matrices/s, and can be extended to deal with different transmit and receive antenna sets.

• 出版日期2012-6
• 单位中国科学院电工研究所