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一种新的Godard盲均衡算法研究

Study on a New Godard Blind Equalization Algorithm

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【作者】 侯永兴张红娟卜庆华

【Author】 HOU Yong-xing1, ZHANG Hong-juan1,2, BU Qing-hua1(1.College of Electrical and Power Engineering,Taiyuan University of Technology Taiyuan 030024,China)(2.Institue of Mechatronic Engineering,Taiyuan University of Technology Taiyuan 030024,China)

【机构】 太原理工大学电气与动力工程学院太原理工大学机械电子工程研究所

【摘要】 盲均衡技术能消除码间干扰,补偿信道特性,正确恢复发送序列,是无线通信系统中的关键技术.分析了G odard算法中迭代步长对盲均衡算法收敛性能的影响,利用模糊神经网络的控制功能,提出一种新的利用模糊神经网络控制步长的G odard盲均衡算法.计算机仿真验证了其有效性.

【Abstract】 The blind equalization technology can reduce Intersymbol Interference(ISI),compensate the channel′s characteristic and renew transmitting signals accurately,so it becomes the key technique in the wireless communication system.The step-size of Godard algorithm can affect the convergence result.In this paper,a new Godard blind equalization algorithm based on the fuzzy neural network(FNN) controlling step-size is proposed,and it using the control functions to improve the control precision of step-size.The capability of the new algorithm is proved by computer simulation.

  • 【文献出处】 数学的实践与认识 ,Mathematics in Practice and Theory , 编辑部邮箱 ,2009年23期
  • 【分类号】TN911.5
  • 【下载频次】77
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