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

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 syste...

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Veröffentlicht in:2009 International Symposium on VLSI Design, Automation and Test S. 195 - 198
Hauptverfasser: Cheng-Zhou Zhan, Kai-Yuan Jheng, Yen-Lian Chen, Ting-Jhun Jheng, An-Yeu Wu
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.04.2009
Schlagworte:
Channel capacity
Convergence
Frequency division multiplexing
Matrix decomposition
MIMO
OFDM
System performance
Transmitters
Vectors
Wireless communication
ISBN:1424427819, 9781424427819
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Zusammenfassung: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.
ISBN:1424427819
9781424427819
DOI:10.1109/VDAT.2009.5158128