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Alpha稳定分布噪声下广义恒模算法收敛性能的研究 被引量:10

Convergence Properties of the GCMA in Alpha-Stable Noise Environment
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摘要 以alpha稳定分布过程为噪声模型,依据分数低阶统计量理论提出了广义恒模算法,分析了广义恒模算法在干扰和加性alpha稳定分布噪声下的收敛特性.研究表明,广义恒模算法的收敛行为由接收信号的初始增益和信干比等条件确定,并由此可以对收敛过程作出预测和控制.利用计算机仿真验证了广义恒模算法的这种特性. This paper introduces alpha-stable distribution as additive noise model and generalizes the constant modulus algorithm(CMA) .An analytic study of the convergence properties of the generalized CMA(GCMA) is presented. It is shown that the convergence behavior can be predicted and controlled by the combination of initial gains and SIR( Signal Interference Ratio). The special properties of the GCMA are verified by computer simulations.
作者 唐洪 邱天爽
出处 《电子学报》 EI CAS CSCD 北大核心 2009年第1期118-121,共4页 Acta Electronica Sinica
基金 国家自然科学基金(No.60372081) 辽宁省科学技术基金(No.2001101057)
关键词 ALPHA稳定分布 恒模算法(CMA) 盲波束形成 alpha- stable distribution constant modulus algorithm blind beamforming
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参考文献8

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同被引文献111

  • 1孙永梅,邱天爽.脉冲噪声环境下的自适应时间延迟估计新方法[J].电子与信息学报,2005,27(5):740-744. 被引量:3
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