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一种双模式变步长恒模算法

Varying step-size dual-mode constant modulus algorithm
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摘要 针对非常模信号,著名的恒模算法表现出较大的稳态误差和较慢的收敛速度.为克服上述缺点,提出了一种双模式变步长恒模算法.新算法通过对输出信号的判决来判断当前均衡器工作是否存在误操作.当均衡器工作正常时算法使用变步长方法,当均衡器工作存在误操作时算法使用零步长方法,从而充分发挥出步长对恒模算法的有利影响.仿真实验结果证明新算法具有比恒模算法更快的收敛速度和更小的稳态误差. When applied to non-constant modulus signals, the famous constant modulus algorithm(CMA) shows large steady-state mean square error(MSE) and slow convergence rate. In order to overcome those defects,this paper proposes a new dual-mode constant modulus algorithm based on varying step-size, which,through the decision of the equalizer output signal,can detect the misoperation in the equalizer. If the equalizer works well the algorithm uses a varying step-size method, otherwise a zero step-size method, making full use of the advantages of CMA while avoiding its defects. The computer simulation shows that the new algorithm is faster in convergence rate and lower in steady-state MSE than the CMA.
作者 饶伟
出处 《南昌工程学院学报》 CAS 2013年第6期17-20,共4页 Journal of Nanchang Institute of Technology
基金 江西省教育厅科学技术项目(GJJ13742)
关键词 恒模算法 变步长 双模式 constant modulus algorithm varying step-size dual-mode
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  • 1李艳琴,孙云山,张立毅.基于模糊神经网络新的盲均衡算法[J].仪器仪表学报,2006,27(z1):817-818. 被引量:2
  • 2郭业才,赵俊渭.基于双层符号常数模的多径水声信道盲均衡算法[J].系统仿真学报,2005,17(1):192-195. 被引量:18
  • 3许小东,戴旭初,徐佩霞.适合高阶QAM信号的加权多模盲均衡算法[J].电子与信息学报,2007,29(6):1352-1355. 被引量:28
  • 4[1]Daheer O,Masry E.Convergence analysis of the constant modulus algorithm[J].IEEE Transactions on Information Theory,2003,49(06):1447-1464.
  • 5[2]Li Xi-Lin,Zhang Xian-Da.A family of generalized constant modulus algorithms for blind equalization[J].IEEE Transactions on Cummunications,2006,51(11):1913-1917.
  • 6[3]Pascal Bianchi,Philippe Loubaton.On the blind equalization of continuous phase modulated signals using the constant modulus criterion[J].IEEE Transactions on Signal Process,2007,55(03):1047-1061.
  • 7[4]Liu Z S.On-line parameter identification algorithms based on householder transformation[J].IEEE Trans.on Signal Processing,1993,41(09):2863-2871.
  • 8[5]Walach E,Widrow B.The least mean fourth (LMF) adaptive algorithm and its family[J].IEEE Trans.on information Theory,1984,30(02):275-283.
  • 9WEI X SH, DAVID G M. MULGREW C B. A unified approach to dynamic length algorithms for adaptive linear equalizers [ J]. IEEE Trans. on Commun. , 2007,55 ( 3 ) :908-920.
  • 10YU G, COWAN C F N. A self-structured adaptive decision feedback equalizer[ J ]. IEEE Signal Processing Letters, 2006,13 (3) : 169-172.

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