MIMO-OFDM 시스템에서 Constant Modulus 신호의 SVR-MMSE 검출 성능 분석

Performance Analysis for SVR-MMSE Detection of Constant Modulus Signals in MIMO-OFDM Systems

  • 신철민 (인하대학교 정보통신대학원 통신공학연구실) ;
  • 서명석 (인하대학교 일반대학원 정보통신공학과 통신공학연구실) ;
  • 양청해 (인하대학교 정보통신대학원 통신공학연구실) ;
  • 곽경섭 (인하대학교 정보통신대학원)
  • 발행 : 2006.12.30

초록

본 논문에서는 MIMO 시스템에서 제안된 SVR-MMSE 검출기법을 MIMO-OFDM 시스템으로 확장, 적용하고 주파수 선택적인 채널에서 성능을 분석한다. 우선 전형적인 MIMO-OFDM 시스템에 대해서 설명하고 이 시스템에서 constant modulus 신호의 검출기법에 대하여 설명을 한다. 기존의 검출 기법인 Zero Forcing, Minimum Mean Square Error 기법과 제안된 SVR-MMSE 검출의 성능을 비교해 보고, Jakes 채널 모델을 사용하여 지연확산을 가지는 다중 경로 페이딩 채널에서 도플러 주파수가 변화함에 따라 검출 기법의 성능을 알아본다. 본 논문에서 제안된 SVR-MMSE를 이용한 MIMO-OFDM 시스템에서의 검출 성능 모의실험 결과, 제안된 알고리즘이 이 시스템에서 우수한 성능을 지니고 있음을 보여주고 있다.

In this paper, we extend SVR-MMSE detection scheme which is proposed in MIMO system to MIMO-OFDM system, and evaluate performance of the system in frequency selective fading channel. First of all, we explain about typical MIMO-OFDM system and detection scheme of constant modulus signals in this system. And compare proposed SVR-MMSE with Zero Forcing, Minimum Mean Square Error which is conventional detection scheme. we identify that the performance of the proposed system is shown different by varying doppler frequency in frequency selective fading channel using jakes channel model. The result of detection performance by the proposed SVR-MMSE in this simulation, it shows that proposed algorithm have a good performance in MIMO-OFDM systems.

키워드

참고문헌

  1. G. J. Foschini, 'Layered space-time architecture for wireless communication in a fading environment when using multiple antennas,' Bell Labs Tech. J., vol. 1, pp. 41-59, Autumn 1996 https://doi.org/10.1002/bltj.2015
  2. WWRF, 'The Book of Visions 2001, Visions of the Wireless World - An Invitation to Participate in the Making of the Future of Wireless Communications,' 2001
  3. C. S. Wong and D. Obradovic, 'Independent component analysis for blind equalization of frequency selective channels,' 2003 IEEE XIII Workshop on Neural Networks for Signal Processing, pp. 419-427, Sep. 2003
  4. I. E. Telatar, 'Capacity of multi-antenna Gaussian Channels,' Eur. Trans. Telecom., vol.10, pp. 585-595, Nov. 1999 https://doi.org/10.1002/ett.4460100604
  5. H. Rohling, T. May, K. Bruninghaus and R. Grunheid, 'Broadband OFDM radio transmission for multimedia applications,' in Proc. IEEE, vol. 87, pp. 1778-1789, Oct. 1999
  6. Y. Li, N. seshadri and S. Ariyavisitakul, 'Channel estimation for OFDM systems with transmitter 다이버시티 in mobile wireless channels,' IEEE Jr. Select. Areas Comm., vol.17, pp. 461-471, Mar. 1999 https://doi.org/10.1109/49.753731
  7. Y. Li, 'Simplified channel estimation for OFDM systems with multiple transmit antennas,' IEEE trans. Wireless Comm., vol. 1, pp. 76-75, Jan. 2002 https://doi.org/10.1109/7693.975447
  8. J. Baltersee, G. Fock and H. Meyr, 'Achievable rate of MIMO channels with data-aidd channel estimation and perfect interleaving,' IEEE Jr. Select. Areas Comm., vol. 19, no. 12, pp. 2358-2368, Dec. 2001 https://doi.org/10.1109/49.974602
  9. Schokopf, B., and Smola, A.: 'Learning ith kernels' MIT Press, Cambridge, MA, 2002
  10. Santamaria, I., Pantaleon, C., Vielva, L., and Ibaez, J.: 'Blind equalization of constant modulus signals using support vector machines' IEEE Trans. Signal Process., 52, (6), pp. 1773 -782, 2004
  11. La'zaro, M., Santamarı'ia, I., Vı'ia, J., and Erdogmus, D.: 'Blind equalization of multilevel signals using support vector machines' Proc. 12th European Signal Processing Conf. (EUSIPCO), Vienna, Austria, pp. 41-44 September 2004
  12. D. Ramirez, I. Santamaria, 'Regularised Approach to Detection of Constant Modulus Signals in MIMO Channels,' Electronics Letters., Feb. 2006
  13. Dent, P., Bottomley, G.E., and Croft, T. 'Jakes fading model revisited,' Electronics Letters., Vol. 29, Issue 13, pp:1162 - 1163, 24 June 1993 https://doi.org/10.1049/el:19930777