한국통신학회논문지 (The Journal of Korean Institute of Communications and Information Sciences)

  • 제35권9C호
  • /
  • Pages.771-777
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  • 2010
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  • 1226-4717(pISSN)
  • /
  • 2287-3880(eISSN)
한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지

공간다중화 MIMO 시스템을 위한 QOC 신호검출 기법

A QOC Signal Detection Method for Spatially Multiplexed MIMO Systems

  • 임태호 (중앙대학교 전자전기공학부 디지털통신연구실) ;
  • 김재권 (연세대학교 원주캠퍼스 디지털통신연구실) ;
  • 조용수 (중앙대학교 전자전기공학부 디지털통신연구실)
  • 투고 : 2010.06.06
  • 심사 : 2010.08.05
  • 발행 : 2010.09.30
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초록

본 논문은 공간다중화 multiple input multiple output (MIMO) 시스템을 위한 새로운 신호검출 기법인 QR-OSIC with Candidates (QOC) 기법을 제안한다. 제안하는 QOC 기법은 부분적인 successive interference cancellation (SIC) 알고리즘과 maximum likelihood (ML) metric 연산을 이용하여 많은 수의 후보 심볼 벡터 없이 최적 성능과 유사한 성능을 얻는다. 제안된 QOC 기법은 hard, soft decoding 시스템에서 모두 동일한 알고리즘으로 변경없이 사용할 수 있다. 특히, soft decoding 시스템을 위한 송신 신호의 모든 비트의 log likelihood ratio (LLR)을 기존 LLR estimation 알고리즘 없이 효율적으로 생성 가능하다. 제안된 신호검출 기법은 고정된 연산복잡도를 가지며 파이프라인 구조로도 구현이 가능하므로 VLSI 구현에 효율적인 특성을 보인다. $4{\times}4$ 16-QAM MIMO 시스템을 위한 신호검출 기법을 VLSI 구현을 통하여 비교한 결과 QOC 신호검출기가 K-Best 신호검출기에 비해 27% 크기를 가지면서 하드웨어 지연은 더욱 작은 것을 확인 할 수 있다.

This paper proposes a new signal detection method, called QR-OSIC with Candidates (QOC) method, for spatially multiplexed multiple input multiple output (MIMO) systems. By using the ordered successive interference cancellation (OSIC) algorithm and the maximum likelihood (ML) metric, the proposed method achieves near-ML performance without requiring a large number of candidates. Although the proposed method can be used for both hard and soft decoding systems, it is especially useful for soft decoding systems since the LLR values for all the bits can be efficiently computed without using LLR estimation. The proposed method is also suitable for VLSI implementation since it leads to fixed throughput system.

키워드

참고문헌

  1. A. J. Paulraj, D. A. Goru, R. R. Nabar, and H. Bolcskei, "An overview of MIMO commumications - a key to gigabit wiriless," Proceedings of the IEEE, Vol.92, No.2, pp.198-218, feb.2004. https://doi.org/10.1109/JPROC.2003.821915
  2. B. G. Evans and K. Baughan, "Vision of 4G," Electronics and Commun. Engineering Journal, Vol.12, No.6, pp.293-303, Dec. 2000. https://doi.org/10.1049/ecej:20000608
  3. G. J. Foschini, "Layered space-time architectre for wireless communication in a fading environment when using multiple antennas," Bell Lab. Technical Journal, Vol.1, No. 2, pp.41-59, Aug. 1996.
  4. L. Barbero and J. Thompson, "A fixed-complexity MIMO detector based on the complex sphere decoder," in Proc. IEEE Int. Workshop on Signal Processing Advances in Wireless Commun., Jul. 2006, pp.1-5.
  5. Y. Dai, S. Sun and Z. Lei, "A comparative study of QRD-M detection and sphere decoding for MIMO-OFDM systems," in Proc. IEEE Int. Symp. of Personal, Indoor and Mobile Radio Commun., Sep. 2005, pp.186-190.
  6. Z. Guo and P. Nilsson, "Algorithm and implementation of the K-best sphere decoding for MIMO detection," IEEE J. Sel. Areas Commun., Vol.24, No.3, pp.491-503, Mar. 2006.
  7. M. Wenk, M. Zellweger, A. Burg, N. Felber, and W. Fichtner, "K-best MIMO detection VLSI architectures achieving up to 424 Mbps," in Proc. IEEE Int. Symp. Circuits and Systems, May 2006, pp.1151-1154.
  8. S. Chen, T. Zhang, and Y. Xin, "Relaxed K-best MIMO signal detector design and VLSI implementation," IEEE Trans. VLSI Systems, Vol.15, No.3, pp.328-337, Mar. 2007. https://doi.org/10.1109/TVLSI.2007.893621
  9. K. Wong, C. Tsui, R.-K. Cheng, and W. Mow, "A VLSI architecture of a K-best lattice decoding algorithm for MIMO channels," in Proc. IEEE Iny. Symp. Circuits and Systems, May 2002, pp.273-276.
  10. K. Kim, J. Yue, R. Iltis, J. Gibson, "A ARD-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.
  11. K. Higuchi, H. Kawai, N. Maeda, M. Sawahashi, T. Itoh, Y. Kakura, A. Ushirodawz, and H. Seki, "Likeligood function for QRM-MLD suitable for soft-decision turbo decoding and is performance for OFCDM MIMO multiplexing in multipath fading channel," in Proc. IEEE PIMRC, Sep. 2004, pp.1142-1148.
  12. B. M. Hochwald and S. Brink, "Achieving near-capacity on a multiple-antennas chnnel," IEEE Trans. Commun., Vol.51, No.3, pp.389-399, Mar. 2003. https://doi.org/10.1109/TCOMM.2003.809789
  13. C. Studer, A. Burg, and H. Bolcskei, "Soft-output sphere decoding: slgorithms and VLSI implementation," IEEE J. Sel. Areas Commun., Vol.26, No.2, pp.290-300, Feb. 2008.
  14. A. Burg, M. Borgmann, M. Wenk, M. Zellweger, W. Fichtner and H. Bolcskei, "VLSI implementation of MIMO detection using the sphere decoding algorithm," IEEE J. Solid-State Circuits, Vol.40, No.7,pp.1566-1577, Jul. 2005.
  15. M. O. Damen, A. Chkeif, and J. C. Belfiore, "Lattice code decoder for space-time codes," IEEE Commun. Letters, Vol.4, No.5, pp.161-163, Mar. 2000. https://doi.org/10.1109/4234.846498