ETRI Journal

Electronics and Telecommunications Research Institute (한국전자통신연구원)
권호 표지
DOI QR코드

DOI QR Code

An Efficient Soft-Output MIMO Detection Method Based on a Multiple-Channel-Ordering Technique

  • Im, Tae-Ho (School of Electrical and Electronic Engineering, Chung-Ang University) ;
  • Park, In-Soo (School of Electrical and Electronic Engineering, Chung-Ang University) ;
  • Yoo, Hyun-Jong (School of Electrical and Electronic Engineering, Chung-Ang University) ;
  • Yu, Sung-Wook (School of Electrical and Electronic Engineering, Chung-Ang University) ;
  • Cho, Yong-Soo (School of Electrical and Electronic Engineering, Chung-Ang University)
  • Received : 2010.10.01
  • Accepted : 2011.03.23
  • Published : 2011.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose an efficient soft-output signal detection method for spatially multiplexed multiple-input multiple-output (MIMO) systems. The proposed method is based on the ordered successive interference cancellation (OSIC) algorithm, but it significantly improves the performance of the original OSIC algorithm by solving the error propagation problem. The proposed method combines this enhanced OSIC algorithm with a multiple-channel-ordering technique in a very efficient way. As a result, the log likelihood ratio values can be computed by using a very small set of candidate symbol vectors. The proposed method has been synthesized with a 0.13-${\mu}m$ CMOS technology for a $4{\times}4$ 16-QAM MIMO system. The simulation and implementation results show that the proposed detector provides a very good solution in terms of performance and hardware complexity.

Keywords

References

  1. A.J. Paulraj et al., "An Overview of MIMO Communications: A Key to Gigabit Wireless," Proc. IEEE, vol. 92, no. 2, Feb. 2004, pp. 198-218. https://doi.org/10.1109/JPROC.2003.821915
  2. G.J. Foschini, "Layered Space-Time Architecture for Wireless Communication in a Fading Environment When Using Multiple Antennas," Bell Lab. Technical J., vol. 1, no. 2, Aug. 1996, pp. 41-59.
  3. Y. Dai, S. Sun, and Z. Lei, "A Comparative Study of QRD-M Detection and Sphere Decoding for MIMO-OFDM Systems," Proc. IEEE Int. Symp. Personal, Indoor and Mobile Radio Commun., Sept. 2005, pp. 186-190.
  4. L. Barbero and J. Thompson, "A Fixed-Complexity MIMO Detector Based on the Complex Sphere Decoder," Proc. IEEE Int. Workshop Signal Process. Advances Wireless Commun., July 2006, pp. 1-5.
  5. Z. Guo and P. Nilsson, "Algorithm and Implementation of the KBest Sphere Decoding for MIMO Detection," IEEE J. Sel. Areas Commun., vol. 24, no. 3, Mar. 2006, pp. 491-503. https://doi.org/10.1109/JSAC.2005.862402
  6. M. Wenk et al., "K-Best MIMO Detection VLSI Architectures Achieving up to 424 Mbps," Proc. IEEE Int. Symp. Circuits Syst., May 2006, pp. 1151-1154.
  7. S. Chen, T. Zhang, and Y. Xin, "Relaxed K-Best MIMO Signal Detector Design and VLSI Implementation," IEEE Trans. VLSI Syst., vol. 15, no. 3, Mar. 2007, pp. 328-337. https://doi.org/10.1109/TVLSI.2007.893621
  8. K. 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. https://doi.org/10.1109/TWC.2004.842951
  9. S. Mondal et al., "Design and Implementation of a Sort-Free K-Best Sphere Decoder," IEEE Trans. VLSI Syst. (online), 2009.
  10. C.A. Shen and A.M. Eltawil, "A Radius Adaptive K-Best Decoder with Early Termination: Algorithm and VLSI Architecture," IEEE Trans. Circuits Syst. I (online), 2010.
  11. T.H. Im et al., "A New Signal Detection Method for Spatially Multiplexed MIMO Systems and its VLSI Implementation," IEEE Trans. Circuits Syst. II, vol. 56, no. 5, May 2009, pp. 399- 403. https://doi.org/10.1109/TCSII.2009.2019331
  12. B.M. Hochwald and S. Brink, "Achieving Near-Capacity on a Multiple-Antennas Channel," IEEE Trans. Commun., vol. 51, no. 3, Mar. 2003, pp. 389-399. https://doi.org/10.1109/TCOMM.2003.809789
  13. C. Studer, A. Burg, and H. Bolcskei, "Soft-Output Sphere Decoding: Algorithms and VLSI Implementation," IEEE J. Sel. Areas Commun., vol. 26, no. 2, Feb. 2008, pp. 290-300. https://doi.org/10.1109/JSAC.2008.080206
  14. A. Burg et al., "VLSI Implementation of MIMO Detection Using the Sphere Decoding Algorithm," IEEE J. Solid-State Circuits, vol. 40, no. 7, July 2005, pp. 1566-1577. https://doi.org/10.1109/JSSC.2005.847505
  15. M. Siti and M. Fitz, "A Novel Soft-Output Layered Orthogonal Lattice Detector for Multiple Antenna Communications," Proc. IEEE ICC, vol. 4, June 2006, pp. 1686-1691
  16. W. Choi, R. Negi, and J.M. Cioffi, "Combined ML and DFE Decoding for the V-BLAST System," Proc. IEEE ICC, 2000, pp. 1243-1248.
  17. E.W. Jang et al., "Improved OSIC Decoder for Spatially Multiplexed System," Proc. IEEE ICC, 2006, pp. 2963-2968.
  18. C.K. Singh, S.H. Prasad, and P.T. Balsara, "VLSI Architecture for Matrix Inversion Using Modified Gram-Schmidt Based QR Decomposition," Proc. Int. Conf. VLSI Design, Jan. 2007, pp. 836-841.

Cited by

  1. An Enhanced Approach for a Prediction Method of the Propagation Characteristics in Korean Environments at 781 MHz vol.34, pp.6, 2011, https://doi.org/10.4218/etrij.12.1812.0088
  2. 700 MHz 대역에서 도심 지역 건물 밀집도를 고려한 MIMO 채널 특성 분석 vol.24, pp.7, 2013, https://doi.org/10.5515/kjkiees.2013.24.7.694
  3. 국내 700 MHz 대역에서 MIMO 채널 측정 파라미터를 이용한 채널 상관도 분석 vol.13, pp.4, 2011, https://doi.org/10.7236/jiibc.2013.13.4.1
  4. Empirical cross-correlation modelling of multiple-input–multiple-output channel considering outdoor building density vol.11, pp.11, 2011, https://doi.org/10.1049/iet-com.2016.1440