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      KCI등재후보 SCOPUS

      An Efficient Low Complexity Blind Equalization Using Micro-Genetic Algorithm

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      https://www.riss.kr/link?id=A76130126

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      In this paper, a method of designing the efficient batch blind equalization with low complexity using a micro genetic algorithm (GA), is presented. In general, the blind equalization techniques that are focused on the complexity reduction might be carried out with minor effect on the performance. Among the advanced various subjects in the field of GAs, a micro genetic algorithm is employed to identify the unknown channel impulse response in order to reduce the search space effectively. A new cost function with respect to the constant modulus criterion is suggested considering its relation to the Wiener criterion. We provide simulation results to show the superiority of the proposed techniques compared to other existing techniques.
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      In this paper, a method of designing the efficient batch blind equalization with low complexity using a micro genetic algorithm (GA), is presented. In general, the blind equalization techniques that are focused on the complexity reduction might be car...

      In this paper, a method of designing the efficient batch blind equalization with low complexity using a micro genetic algorithm (GA), is presented. In general, the blind equalization techniques that are focused on the complexity reduction might be carried out with minor effect on the performance. Among the advanced various subjects in the field of GAs, a micro genetic algorithm is employed to identify the unknown channel impulse response in order to reduce the search space effectively. A new cost function with respect to the constant modulus criterion is suggested considering its relation to the Wiener criterion. We provide simulation results to show the superiority of the proposed techniques compared to other existing techniques.

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      목차 (Table of Contents)

      • Abstract
      • 1. Introduction
      • 2. Preliminaries
      • 3. Proposed New Method for Blind Identification
      • 4. Experimental Results and Analysis
      • Abstract
      • 1. Introduction
      • 2. Preliminaries
      • 3. Proposed New Method for Blind Identification
      • 4. Experimental Results and Analysis
      • 5. Conclusions
      • Reference
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      참고문헌 (Reference)

      1 "Self-recovering Equalization and Carrier Tracking in Two-dimensional Data Communication Systems" comm-28 (comm-28): 1867-1875, 1980.

      2 "Maximum-likelihood sequence estimation of digital sequence in the presence of intersymbol interference" it-18 : 363-378, 1972.

      3 "Genetic algorithms and their applications" 13 (13): 22-37, 1996.

      4 "Convergence analysis of finite length blind adaptive equalizers" 43 : 2120-2129, Sept.1995.

      5 "Blind Equalization using the Constant Modulus Criterion: a Review" 86 (86): 1927-1950, 1998.

      6 "Adaptation in Natural and Artificial Systmes Univ. of Michigan Press" 1975.

      7 "A New Method for Blind Channel Identification with Genetic Algorithms" ITS2002

      1 "Self-recovering Equalization and Carrier Tracking in Two-dimensional Data Communication Systems" comm-28 (comm-28): 1867-1875, 1980.

      2 "Maximum-likelihood sequence estimation of digital sequence in the presence of intersymbol interference" it-18 : 363-378, 1972.

      3 "Genetic algorithms and their applications" 13 (13): 22-37, 1996.

      4 "Convergence analysis of finite length blind adaptive equalizers" 43 : 2120-2129, Sept.1995.

      5 "Blind Equalization using the Constant Modulus Criterion: a Review" 86 (86): 1927-1950, 1998.

      6 "Adaptation in Natural and Artificial Systmes Univ. of Michigan Press" 1975.

      7 "A New Method for Blind Channel Identification with Genetic Algorithms" ITS2002

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-02-18 학회명변경 한글명 : 한국퍼지및지능시스템학회 -> 한국지능시스템학회
      영문명 : Korea Fuzzy Logic And Intelligent Systems Society -> Korean Institute of Intelligent Systems
      KCI등재
      2007-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2006-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.43 0.43 0.4
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.35 0.35 0.853 0.05
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