Earticle

초록

영어

This paper presents the problem of blind channel estimation of a non-minimum phase system using three algorithms. These algorithms play an important role for blindly estimate the parameters of radio mobile channel. Thus studying the problem of blind channel equalization based on, the proposed algorithm, CMA and SKMAA algorithms. The simulation results in noisy environment and for different SNR values demonstrate that the proposed algorithm is more performing than other algorithms. In addition the Sign Kurtosis Maximization Adaptive Algorithm (SKMAA) is more powerful in comparison to constant modulus algorithm (CMA) at the blind channel equalization, that is to say gives the right equalization.

목차

Abstract
 1. Introduction
 2. Problem Statement
 3. Blind Algorithms
  3.1. Safi1 Algorithm [9]
  3.2. Safi2 Algorithm [9]
  3.3. Proposed Algorithm Said1
 4. Said1 (Proposed Algorithm) Equalization
  4.1. ZF Equalization
  4.2. MMSE Equalization
 5. Adaptive Equalization
  5.1. The Constant Modulus Algorithm (CMA)
  5.2. KMAA Algorithm
 6. Simulation Results
  6.1. Performance of Safi1, Safi2 and Said1 Algorithms in the without Noise Case
  6.2. Performance of Safi1, Safi2 and Said1 Algorithms in the Noise Case
  6.3. Blind Identification Channel (Bran A)
  6.4. Equalization of Channel by Said1, CMA and SKMAA Algorithms
 7. Conclusion
 References

키워드

저자

• Said Elkassimi [ Equipe de Traitement de L’information et de Télécommunications, Facultés des Sciences et Techniques, USMS, Béni Mellal, Maroc. ]
• Said Safi [ Equipe de Traitement de L’information et de Télécommunications, Facultés des Sciences et Techniques, USMS, Béni Mellal, Maroc. ]
• B. Manaut [ Laboratoire Interdisciplinaire de Recherche en Science et Technique (LIRST), USMS Béni Mellal, Maroc ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605