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用遗传算法求解基于高阶累积量的盲均衡问题 被引量:5

Solve Bland Equalization Problem with Based with HOC with Gentic Algorithm
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摘要 将遗传算法引入盲均衡技术领域 ,详细分析了如何用遗传算法求解基于高阶累积量盲均衡问题 ,并给出了一种求解算法的具体步骤。该算法不用基于领域知识的规则 ,具有很强的通用性与鲁棒性。通过计算机仿真验证了该算法的有效性。 Genetic algorithm is a modern optimization used widely. This paper introduces genetic algorithm into the field of blind equalization problem. After analyzing how to solve blind equalization problem based on highorder cumulant with genetic algorithm in detail, an algorithm is given. Because this problem doesnot use rules based on special knowledge, it is current and robust. Finally, computer simulations are given to illustrate effectiveness.
出处 《现代电子技术》 2003年第24期64-66,共3页 Modern Electronics Technique
关键词 遗传算法 高阶累积量 盲均衡 仿真 genetic algorithm highorder cumulant blind equalization simulation
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参考文献3

  • 1Sato Y. A methodequalization forof self-recovering multilevel amplitude -modulation systems [J] . IEEE Trans on Commu. 1975, 23 (6): 679-682.
  • 2Godard D. Self-recoving equalization and carrier - tracking in two - dimensionl data communication system [J] . IEEE Trans on Commu , 1980, 128 (11): 1867-1875.
  • 3Jitendra K Tugnait,Identification and deconvolution of multichannel linear non -gaussian processes using high order statistic sinvers filter criteria [J] .IEEE Trans on Signal Processing, 1997, 45 (3): 658-672.

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