Browse > Article
http://dx.doi.org/10.4218/etrij.13.0112.0633

Combined ML and QR Detection Algorithm for MIMO-OFDM Systems with Perfect ChanneI State Information  

You, Weizhi (State Key Lab of Advanced Optical Communication Systems, Department of Electronic Engineering, Shanghai Jiao Tong University)
Yi, Lilin (State Key Lab of Advanced Optical Communication Systems, Department of Electronic Engineering, Shanghai Jiao Tong University)
Hu, Weisheng (State Key Lab of Advanced Optical Communication Systems, Department of Electronic Engineering, Shanghai Jiao Tong University)
Publication Information
ETRI Journal / v.35, no.3, 2013 , pp. 371-377 More about this Journal
Abstract
An effective signal detection algorithm with low complexity is presented for multiple-input multiple-output orthogonal frequency division multiplexing systems. The proposed technique, QR-MLD, combines the conventional maximum likelihood detection (MLD) algorithm and the QR algorithm, resulting in much lower complexity compared to MLD. The proposed technique is compared with a similar algorithm, showing that the complexity of the proposed technique with T=1 is a 95% improvement over that of MLD, at the expense of about a 2-dB signal-to-noise-ratio (SNR) degradation for a bit error rate (BER) of $10^{-3}$. Additionally, with T=2, the proposed technique reduces the complexity by 73% for multiplications and 80% for additions and enhances the SNR performance about 1 dB for a BER of $10^{-3}$.
Keywords
MIMO-OFDM; QR decomposition; QR-MLD algorithm; maximum likelihood detection (MLD);
Citations & Related Records
연도 인용수 순위
  • Reference
1 K.J. Kim and R.A. Iltis, "Joint Detection and Channel Estimation Algorithms for QS-CDMA Signals over Time-Varying Channels," IEEE Trans. Commun., vol. 50, May 2002, pp. 845- 855.   DOI   ScienceOn
2 K.J. Kim et al., "A QRD-M/Kalman Filter-Based Detection and Channel Estimation Algorithm for MIMO-OFDM Systems," IEEE Trans. Wireless Commun., vol. 4, no. 2, Mar. 2005, pp. 710- 721.   DOI   ScienceOn
3 B. Hassibi, "An Efficient Square-Root Algorithm for Blast," Proc. IEEE Int. Conf. Acoustic, Speech, Signal Process., Istanbul, Turkey, June 2000, pp. 5-9.
4 M.-S. Baek, Y.-H. You, and H.-K. Song, "Combined QRD-M and DFE Detection Technique for Simple and Efficient Signal Detection in MIMO-OFDM Systems," IEEE Trans. Wireless Commun., vol. 8, no. 4, Apr. 2009.
5 S. Sun et al., "Pseudo-Inverse MMSE Based QRD-M Algorithm for MIMO-OFDM," IEEE Veh. Technol. Conf., May 2006, pp. 1545-1549.
6 W. You, L. Yi, and W. Hu, "Reduced Complexity Maximum- Likelihood Detection for MIMO-OFDM Systems," IEEE WiCOM, 2012.
7 P.A. Haris et al., "Performance of Combined Low Complexity QRD-M and DFE Detection in MIMO-OFDM Systems," IEEE ICCSP, 2011, pp. 289-293.
8 W. You, L. Yi, and W. Hu, "A Hybrid Dynamic QRDM and ZF Detection Algorithm for MIMO-OFDM Systems," IEEE WiCOM, 2012.
9 H. Jian et al., "A Low Complexity Soft-Output QRD-M Algorithm for MIMO OFDM Systems," IEEE WiCOM, 2010.
10 Y. Liu et al., "Super-Low-Complexity QR Decomposition-M Detection Scheme for MIMO-OFDM Systems," IET Commun., vol. 5, no. 9, 2011, pp. 1303-1307.   DOI   ScienceOn
11 Z.Y. Huang et al., "High-Throughput QR Decomposition for MIMO Detection in OFDM Systems," IEEE ISCAS, 2010, pp. 1492-1495.
12 J.G. Proakis, Digital Communications, 4th ed., 2008, pp. 810-811.
13 L. Wei, "Near Optimum Tree-Search Detection Schemes for Bit- Synchronous Multiuser CDMA Systems over Gaussian and Two-Path Rayleigh Fading Channels," IEEE Trans. Commun., vol. 45, no. 6, June 1997, pp. 691-700.   DOI   ScienceOn
14 T.M. Aulin, "Breadth-First Maximum Likelihood Sequence Detection," IEEE Trans. Commun., vol. 47, no. 2, Feb. 1999, pp. 208-216.   DOI   ScienceOn