EXIT 차트분석을 이용한 SC-MMSE기반 반복수신기의 성능 증대

Improving Iterative Detection and Decoding Based on SC-MMSE with EXIT Analysis

  • 발행 : 2007.12.30

초록

This paper aims to improve the design of iterative detection and decoding(IDD) based on the soft interference cancellation with minimum mean squared error(SC-MMSE) detector, which shows low performance compared to the maximum a posteriori(MAP) detector. By means of extrinsic information transfer(EXIT) chart analysis, such low performance may be attributed to that the "pure"(original) turbo principle is not always best for IDD. Thus, we propose a new IDD architecture based on the SC-MMSE detector which uses new a priori information. Simulation results show that the performance of the proposed IDD is very close to that of IDD based on the MAP detector.

키워드

참고문헌

  1. V. Tarokh, N. Seshadri, and A. R. Calderbank, "Spacetime codes for high data rate wireless communication: Performance criterion and code construction," IEEE Trans. Inform. Theory, vol, 44, no. 2, pp. 744-765, Mar. 1998 https://doi.org/10.1109/18.661517
  2. B, M, Hochwald and S. ten Brink, "Achieving nearcapacity on a multipleantenna channel;' IEEE Trans. Cornrnun, , vol, 51, no, 3, pp. 389-399, 2003 https://doi.org/10.1109/TCOMM.2003.809789
  3. Y, L, C. De Jong and T,J. Willink, "Iterative tree search detection for MIMO wireless systems," IEEE Trans, Cornrnun, vol, 53, no, 6, pp. 930-935, 2005 https://doi.org/10.1109/TCOMM.2005.849638
  4. X. Wang and H, V, Poor, "Iterative (turbo) soft interference cancellation and decoding for coded CDMA," IEEE Trans. Cornmun., vol, 47, no. 7, pp, 1046-1061,1999 https://doi.org/10.1109/26.774855
  5. M. Sellathurai and S. Haykin;'Turbo-BLAST for Wireless Communications: Theory and Experiments, IEEE Trans, Sig, Proc, vol, 50, pp. 2538-46, 2002
  6. J. Hou, P, H, Siegel and L, B. Milstein, 'Design of multiinput multioutput systems based on low-density Paritycheck codes," IEEE Trans, Commun, vol. 53, no, 4, pp, 601-611,2005 https://doi.org/10.1109/TCOMM.2005.844972
  7. M, Witzke, S. Baro, F, Schreckenbach, and J. Hagenauer, "lterative detection of MIMO signals with linear detectors," in Proc. 36th Asilomar Conference On Signals, Systems And Computers, Pacific Grove, CA, USA, November 3-6, 2002
  8. J. Hagenauer, E. Offer, L. Papke, "Iterative decoding of binary block and. convolutional codes," IEEE Trans, Inform, Theory, vol, 42, pp. 429-445,1996 https://doi.org/10.1109/18.485714
  9. J. Hagenauer, "The turbo principle: Tutorial introduction and state of. the art," In Proc, International Symposium on Turbo Codes and Related Topics, Brest, France, pp, 1-11, Sep, 1997
  10. J. Hagenauer, P, Robertson, and L, Papke, "Iterative (turbo) decoding of systematic convolutional codes with theMAP and SOYA algorithms, in Proc, ITG Symp, on Source and Channel Coding, Munich, Germany, pp, 21-29,1994
  11. S. ten Brink, "Convergence behavior of iteratively decoded parallel concatenated codes," IEEE Trans, Commun, vol, 49, pp, 1727-1737, 2001 https://doi.org/10.1109/26.957394
  12. S, ten Brink, 'Designing iterative decoding schemes with the extrinsic information transfer chart," AEU Int. J. Electron,. Commun., vol, 54, no. 6,. pp. 389-398,2000
  13. p. Robertson, E. Villebrun, and p. Hoeher, "A comparision of optimal and suboptimal MAP decoding algorithms operating in the log domain," in Proc, IEEE Int. Conf. Communications, pp. 1009-1013, 1995
  14. H. V. Poor and S. Verdu, Probability of error in MMSE multiuser detection, IEEE Trans. Inform. Theory, vol, IT -43, pp. 858.871, May 1997
  15. J. Nam, S. R. Kim, H. K. lung, and J. Ha, "A new design of iterative detection and decoding with soft interference cancellation," submitted to IEEE Int. Conf. Communications 2008