인터넷정보학회논문지 (Journal of Internet Computing and Services)

  • 제18권6호
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  • Pages.1-6
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  • 2017
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  • 1598-0170(pISSN)
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  • 2287-1136(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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상호정보 에너지와 델타함수 기반의 알고리즘에서 크기 조절된 입력의 전력변화에 대한 연구

A Study on Power Variations of Magnitude Controlled Input of Algorithms based on Cross-Information Potential and Delta Functions

  • Kim, Namyong (Division of Electronics, Information & Communication Engineering, Kangwon National Unversity)
  • 투고 : 2017.07.04
  • 심사 : 2017.10.19
  • 발행 : 2017.12.31
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초록

이 논문에서는 충격성 잡음환경에서 탁월한 성능을 보이는 CIPD 알고리즘에 대해, 오차에 대한 가우시안 커널로 입력이 보정된 MCI의 전력 추이를 가중치 갱신 방정식에 반영한 새로운 방식을 제안하였다. 제안한 알고리즘이 기존의 CIPD 알고리즘보다 우수한 성능을 가지는지 평가하기 위해, 각 알고리즘의 가중치 벡터 변화량이 얼마나 충격성 잡음에 강인한가를 충격성 잡음하에서 비교하였으며, 실험 결과에서 2배 이상의 정상상태 안정성 향상, 약 1.8배 빠른 수렴속도와 약 2dB 정도 더 낮은 최소 MSE 값을 나타냈다.

For the algorithm of cross-information potential with delta functions (CIPD) which has superior performance in impulsive noise environments, a new method of employing the information of power variations of magnitude controlled input (MCI) in the weight update equation of the CIPD is proposed in this paper where the input of CIPD is modified by the Gaussian kernel of error. To prove its effectiveness compared to the conventionalCIPD algorithm, the distance between the current weight vector and its previous one is analyzed and compared under impulsive noise. In the simulation results the proposed method shows a two-fold improvement in steady state stability, faster convergence speed by 1.8 times, and 2 dB - lower minimum MSE in the impulsive noise situation.

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참고문헌

  1. S. Haykin, Adaptive Filter Theory, Prentice Hall, Upper Saddle River, 4th edition, 2001.
  2. B. Gwun, O. Lee, and K. Kim, "A Study on the Sparse Channel Estimation Technique in Underwater Acoustic Channel," Journal of the Korea Institute of Information and Communication Engineering vol. 18, Issue5, pp. 1061-1066, May 2014. https://doi.org/10.6109/jkiice.2014.18.5.1061
  3. Y. Cho, H. Yu, B. Kim, J. Cho, J. Kim, J. Lee, and H. Park, "Proposal of optimum equalizer hardware architecture for cable modem and analysis of various LMS algorithms," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, pp. 150-159, Feb. 2002.
  4. L. Bharani, P. Radhika, "FPGAimplementation of optimal step size nlms algorithm and its performance analysis," IJRET, vol. 2, pp. 885-890, July 2013. http://esatjournals.net/ijret/2013v02/i05/IJRET20130205027.pdf https://doi.org/10.15623/ijret.2013.0205027
  5. R. Chinaboina, D. Ramkiran, H. Khan, M. Usha, B. Madhav, K. Srinivas and G. Ganesh, "Adaptive algorithms for acoustic echo cancellation in speech processing," IJRRAS, vol. 7, pp. 38-42, April 2011,.
  6. N. Kim, "A new constant modulus algorithm based on minimum Euclidian distance criterion for blind channel equalization," Journal of Korean Society for Internet Information, vol. 10, pp. 19-26, Dec. 2009.
  7. N. Kim, "Complexity Reduction of Blind Algorithms based on Cross-Information Potential and Delta Functions," Journal of Internet Computing and Services (JICS), vol. 15, pp. 71-77, Jun. 2014. https://doi.org/10.7472/jksii.2014.15.3.71
  8. N. Kim, "Robustness to Impulsive Noise of Algorithms based on Cross-Information Potential and Delta Functions," Journal of Internet Computing and Services (JICS), vol.17, pp. 11-17, April 2016.
  9. E. Parzen, "On the estimation of a probability density function and the mode," Ann. Math. Stat. vol. 33, p.1065, 1962. https://doi.org/10.1214/aoms/1177704472
  10. D. Erdogmus, and J. Principe, "Convergence analysis of the information potential criterion in adaline training," IEEE Trans. Signal Processing, vol. 50, pp. 1780-1786, July, 2002. https://doi.org/10.1109/TSP.2002.1011217