Full Text:   <3503>

CLC number: TN914

On-line Access: 2009-09-03

Received: 2009-03-27

Revision Accepted: 2009-07-19

Crosschecked: 2009-08-14

Cited: 3

Clicked: 6009

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
1. Reference List
Open peer comments

Journal of Zhejiang University SCIENCE A 2009 Vol.10 No.10 P.1389-1394


A simplified MMSE-based iterative receiver for MIMO systems

Author(s):  Yuan YANG, Hai-lin ZHANG

Affiliation(s):  State Key Lab of Integrated Services Networks, Xidian University, Xi’ more

Corresponding email(s):   isn_yuan@163.com

Key Words:  Multiple-input multiple-output (MIMO), Minimum mean square error (MMSE), Matrix inversion lemma, Singular value decomposition (SVD)

Yuan YANG, Hai-lin ZHANG. A simplified MMSE-based iterative receiver for MIMO systems[J]. Journal of Zhejiang University Science A, 2009, 10(10): 1389-1394.

@article{title="A simplified MMSE-based iterative receiver for MIMO systems",
author="Yuan YANG, Hai-lin ZHANG",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T A simplified MMSE-based iterative receiver for MIMO systems
%A Yuan YANG
%A Hai-lin ZHANG
%J Journal of Zhejiang University SCIENCE A
%V 10
%N 10
%P 1389-1394
%@ 1673-565X
%D 2009
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0920172

T1 - A simplified MMSE-based iterative receiver for MIMO systems
A1 - Yuan YANG
A1 - Hai-lin ZHANG
J0 - Journal of Zhejiang University Science A
VL - 10
IS - 10
SP - 1389
EP - 1394
%@ 1673-565X
Y1 - 2009
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A0920172

A simplified minimum mean square error (MMSE) detector is proposed for joint detection and decoding of multiple-input multiple-output (MIMO) systems. The matrix inversion lemma and the singular value decomposition (SVD) of the channel matrix are used to simplify the computation of the coefficient of the MMSE filter. Compared to the original MMSE detector, the proposed detector has a much lower computational complexity with only a marginal performance loss. The proposed detector can also be applied to MIMO systems with high order modulations.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


[1] Benesty, J., Huang, Y.T., Chen, J.D., 2003. A fast recursive algorithm for optimum sequential signal detection in a BLAST system. IEEE Trans. Signal Process., 51(7):1722-1730.

[2] Choi, J., 2006. MIMO-BICM iterative receiver with the EM based channel estimation and simplified MMSE combining with soft cancellation. IEEE Trans. Signal Process., 54(8):3247-3251.

[3] de Jong, Y.L.C., Willink, T.J., 2005. Iterative tree search detection for MIMO wireless systems. IEEE Trans. Commun., 53(6):930-935.

[4] El Gamal, H., Geraniotis, E., 2000. Iterative multiuser detection for coded CDMA signals in AWGN and fading channels. IEEE J. Sel. Areas Commun., 18(1):30-41.

[5] Farhang-Boroujeny, B., Zhu, H., Shi, Z., 2006. Markov chain Monte Carlo algorithms for CDMA and MIMO communication systems. IEEE Trans. Signal Process., 54(5):1896-1909.

[6] Foschini, G.J., Gans, M.J., 1998. On limits of wireless communications in a fading environment when using multiple antennas. Wirel. Pers. Commun., 6(3):311-335.

[7] Gresset, N., 2004. New Space-time Coding Techniques with Bit-interleaved Coded Modulations. PhD Thesis, ENST Paris-Mitsubishi ITE TCL Rennes, Paris, France.

[8] Hassibi, B., 2000. An Efficient Square-root Algorithm for BLAST. Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, p.737-740.

[9] Hochwald, B.M., Brink, S.T., 2003. Achieving near-capacity on a multiple-antenna channels. IEEE Trans. Commun., 51(3):389-399.

[10] Lee, H., Lee, B., Lee, I., 2006. Iterative detection and decoding with an improved V-BLAST for MIMO-OFDM systems. IEEE J. Sel. Areas Commun., 24(3):504-513.

[11] Liang, Y.C., Sun, S., Ho, C.K., 2006. Block-iterative generalized decision feedback equalizer (BI-GDFE) for large MIMO systems: algorithm design and asymptotic performance analysis. IEEE Trans. Signal Process., 54(6):2035-2048.

[12] Rontogiannis, A.A., Kekatos, V., Berberidis, K., 2006. A square-root adaptive V-BLAST algorithm for fast time-varying MIMO channels. IEEE Signal Process. Lett., 13(5):265-268.

[13] Sellathurai, M., Haykin, S., 2002. Turbo-BLAST for wireless communications: theory and experiments. IEEE Trans. Signal Process., 50(10):2538-2546.

[14] Tomasoni, A., Ferrari, M., Gatti, D., Osnato, F., Bellini, S., 2006. A Low Complexity Turbo MMSE Receiver for W-LAN MIMO Systems. Proc. IEEE Int. Conf. on Communications, 9:4119-4124.

[15] Tonello, A.M., 2001. Array Processing for Simplified Turbo Decoding of Interleaved Space-time Codes. Proc. IEEE Vehicular Technology Conf., p.1304-1308.

[16] Wang, J., Wen, O.Y., Li, S., 2007. Soft-output MMSE OSIC Detection with Reduced-complexity Approximations. IEEE Int. Workshop on Signal Processing Advances in Wireless Communication, p.1-5.

[17] Zhang, X., 2004. Matrix Analysis and Applications. Tsinghua University Press, Beijing, China, p.68-69 (in Chinese).

[18] Zhu, H., Lei, Z., Chin, F., 2004. An improved square-root algorithm for BLAST. IEEE Signal Process. Lett., 11(9):772-775.

Open peer comments: Debate/Discuss/Question/Opinion


Please provide your name, email address and a comment

Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE