Browse > Article

A New Subspace Search-based Method for MIMO Systems  

Nam, Sang-Ho (Dept. of Electrical and Electronic Engin., Yonsei University)
Ko, Kyun-Byoung (Control and Instrumentation Engineering at Chungju National University)
Hong, Dae-Sik (Dept. of Electrical and Electronic Engin., Yonsei University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TC / v.48, no.5, 2011 , pp. 25-32 More about this Journal
Abstract
In this paper, we propose a subspace search-based detector (SSD) with low-complexity to achieve near optimal performance for multiple-input multiple-output systems. As an effective solution to reduce the prohibitive computational complexity of the optimal maximum likelihood detector, a partial candidate symbol vector is generated through a partitioned search space but not the entire search space. In addition, based on a partial candidate symbol vector, an ensemble candidate symbol vector generation considering the whole search space is introduced to produce a near optimal solution. As a result, the proposed SSD achieves near-maximum-likelihood performance while having a significantly reduced computational complexity.
Keywords
subspace search; multiple-input multiple-output systems;
Citations & Related Records
연도 인용수 순위
  • Reference
1 E. Viterbo and J. Boutros, "A universal lattice code decoder for fading channel," IEEE Trans. Inf. Theory, vol. 45, no. 5, pp. 1639-1642, July 1999.   DOI   ScienceOn
2 G. H. Golub and C. F. Van Loan, Matrix Computations, 3rd ed. The Johns Hopkins University Press, 1996.
3 J. L. Melas, and D.L. Cohn, Detection and Estimation Theory, McGraw Hill, 1978.
4 S. Yu, T. H. Im, C. H. Park, J. Kim, and Y. Cho, "An FPGA Implementation of MML-DFE for spatially multiplexed MIMO systems," IEEE Trans. Circuit and Systems II, vol. 55, no. 7, pp. 705-709, July 2008.   DOI
5 A. Paulraj, R. Nabar, and D. Gore, Introduction to Space-Time Wireless Communications, Cambridge, U.K.: Cambridge Univ. Press, 2003.
6 P. W. Wolniansky, G.J. Foschini, G.D. Golden, and R.A. Valenzuela, "V-BLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel," in Proc. URSI Int. Symp. Signals, Syst., and Electron., Sep. 1998.
7 G. J. Foschini, G. D. Golden, R. A. Valenzuela, and P. W. Wolniansky, "Simplified processing for high spectral efficiency wireless communication employing multi-element arrays, "IEEE J. Sel. Areas Commun., vol. 17, no. 11, pp. 1841-1852, Nov. 1999.   DOI   ScienceOn
8 Y. Yuk, K. Ko, C. You, H. Na, D. Hong, and C. Kang, "Turbo coded iterative V-BLAST system using maximum a posteriori criterion," IEICE Trans. Commun., vol. E86-B, no. 7, pp. 2198-2202, July 2003.
9 B. M. Hochwald, and S. ten Brink, "Achieving near-capacity on a multiple-antenna channel," IEEE Trans. Commun., vol. 51, no. 3, pp. 389-399, Mar. 2003.   DOI   ScienceOn
10 E. W. Jang, S. Nam, J. Kim, and J. M. Cioffi, "Improved OSIC decoder for spatially multiplexed system," in Proc. IEEE ICC, June 2006, pp. 2963-2968.
11 S. Nam, S. Lim, K. Ko, and D. Hong, "A New Multistage Whitener-Based Detector for MIMO Systems," Springer Wireless Personal Communications, accepted.
12 X. Li, H. C. Huang, A. Lozano, and G. J. Foschini, "Reduced complexity detection algorithms for systems using multi-element arrays," in Proc. IEEE GLOBECOM, Nov. 2000, pp. 1072-1076.
13 K. J. Kim, J. Yue, R. A. Iltis, and J. D. Gibson, "A QRD-M/Kalman filter-based detection and channel estimation algorithm for MIMO-OFDM systems," IEEE Trans. Wireless Commun., vol. 4, no. 2, pp. 710-721, Mar. 2005.   DOI
14 Y. (Geoffrey) Li, J. H. Winters, and N. R. Sollenberger, "MIMO-OFDM for wireless communications: signal detection with enhanced channel estimation," IEEE Trans. Commun., vol. 50, no. 9, pp. 1471-1477, Sep. 2002.   DOI   ScienceOn