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A PDF-distance minimization algorithm for blind equalization for underwater communication channels with multipath and impulsive noise

다중경로와 임펄스 잡음이 있는 수중 통신 채널의 블라인드 등화를 위한 확률분포-거리 최소화 알고리듬

  • Received : 2010.08.05
  • Accepted : 2010.09.30
  • Published : 2011.02.28

Abstract

In this paper, a blind adaptive equalization algorithm based on PDF-distance minimization and a set of Delta functions is introduced and its superior robustness against impulsive noise and multipath characteristics of underwater communication channels is proved. The conventional CMA based on MSE has shown to be incapable of coping with impulsive noise, and correntropy blind algorithm has also revealed to yield not satisfying performance for the mission. On the other hand, the blind adaptive equalization algorithm based on PDF-distance minimization and a set of Delta functions has been proved to solve effectively the problem of impulsive noise and multipath characteristics of underwater communication channels through theoretical and simulation analysis.

다음은 이 논문에서는 임펄스 잡음과 함께 다중경로 특성을 가진 수중 통신 채널에 대해, 확률거리 최소화와 델타함수열을 이용한 블라인드 적응등화 알고리듬을 소개하고 임펄스 잡음에 대한 강인성을 입증하였다. 기존의 자승평균오차 기반의 CMA는 임펄스 잡음 환경에서 다중경로 채널을 보상하지 못하는 현상을 보였고 엔트로피에 기반을 둔 코렌트로피 등화알고리듬도 일반적 변조방식에서 성능이 만족스럽지 못한 것으로 나타났으나, 델타함수열을 이용한 확률분포 거리최소화 방법은 이러한 임펄스 잡음 문제와 다중경로 채널 블라인드 등화문제를 동시에 해결함을 보였고, 임펄스 잡음에 대해 탁월한 강인성을 가짐을 이론적 분석과 함께 시뮬레이션 실험을 통해 입증하였다.

Keywords

References

  1. M. Chitre, S. Shahabudeen, and M. Stojanovic, "Underwater Acoustic Communications and networking: Recent Advances and Future Challenges", Acoustic Research Laboratory, National University of Singapore, Massachusetts Institute of Technology, Spring, 2008.
  2. J. A. Catipovic, Spatial diversity processing for underwater acoustic telemetry, United States Patent 5559757, 1996.
  3. J. A. Catipovic and L. E. Freitag, "High Data Rate Acoustic Telemetry for Moving ROVS in a Fading Multipath Shallow Water Environment", Proceedings of the Symposium on Autonomous Underwater Vehicle Technology, pp. 296-303, 1990.
  4. J. Wang, H. Huang, C. Zhang and J. Guan, "A Study of the Blind Equalization in the Underwater Communication," WRI Global Congress on Intelligent Systems, vol. 3, pp.122-125, 2009.
  5. L. M. Garth, "A dynamic convergence analysis of blind equalization algorithms," IEEE Trans. Comm., vol. 49, pp. 624-634, April 2001. https://doi.org/10.1109/26.917769
  6. F. Mazzenga, "Channel estimation and equalization for M-QAM transmission with a hidden pilot sequence," IEEE Trans. Broadcasting, vol. 46, pp. 170-176, June 2000. https://doi.org/10.1109/11.868934
  7. J. C. Principe, D. Xu and J. Fisher, "Information Theoretic Learning," in: S. Haykin, Unsupervised Adaptive Filtering, Wiley, New York, vol. I, pp. 265-319, 2000.
  8. D. Erdogmus, Y. Rao and J. C. Principe, "Supervised Training of Adaptive Systems with Partially Labeled Data," Proceedings of the International Conference on ASSP, pp. v321-v324, Apr. 2005.
  9. J. R. Treichler and B. Agee, "A new approach to multipath correction of constant modulus signals," IEEE Trans. ASSP., vol. ASSP-31, pp. 349-372, Nov. 1983.
  10. I. Santamaria, P. P. Pokharel, and J. C. Principe, "Generalized correlation function: Definition, properties, and application to blind equalization," IEEE Trans. Signal Processing, vol. 54, pp. 2187-2197, June 2006. https://doi.org/10.1109/TSP.2006.872524
  11. N. Kim, K. H. Jeong and L. Yang, "Euclidian Distance Minimization of Probability Density Functions for Blind Equalization," Journal of Communications and Networks, Submitted, 2010.
  12. B. Aazhang and H. V. Poor, "Performance of DS/ CDMA communications in impulsive channels-Part II: Hard-limiting correlation receivers," IEEE Trans. Comm., vol. 36, pp. 88-97, Jan. 1988. https://doi.org/10.1109/26.2732
  13. S. Miyamoto, M. Katayama and N. Morinaga, "Receiver design using the dependence between quadrature components of impulsive radio noise," IEICE Trans. Comm., vol. J77-B-II, pp. 63-73, Feb. 1994.
  14. K. Koike and H. Ogiwara, "Application of Turbo TCM codes for impulsive noise channel," IEICE Trans. Fundamentals, vol. E81-A, pp. 2032-2039, Oct. 1998.
  15. J. G. Proakis, Digital Communications, McGraw-Hill, 1989.
  16. K. S. Vastola, "Threshold detection in narrow band non-Gaussian noise," IEEE Trans. Comm., vol. 32, pp. 134-139, Feb. 1984. https://doi.org/10.1109/TCOM.1984.1096037