对称α稳定分布特性及其参数估计方法研究
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  • 英文篇名:Symmetrical Alpha Stable Distribution and Its Parameter Estimation Method
  • 作者:王余 ; 王本猛 ; 卫红凯 ; 彭成
  • 英文作者:WANG Yu;WANG Benmeng;WEI Hongkai;PENG Cheng;No.31001 Troops of PLA;No.92001 Troops of PLA;Naval University of Engineering;
  • 关键词:对称α稳定分布 ; 混响 ; 概率密度分布
  • 英文关键词:symmetry alpha stable distribution;;reverberation;;probability density distribution
  • 中文刊名:JCGC
  • 英文刊名:Ship Electronic Engineering
  • 机构:31001部队;92001部队;海军工程大学;
  • 出版日期:2017-04-20
  • 出版单位:舰船电子工程
  • 年:2017
  • 期:v.37;No.274
  • 语种:中文;
  • 页:JCGC201704029
  • 页数:6
  • CN:04
  • ISSN:42-1427/U
  • 分类号:121-126
摘要
对称α稳定分布能较好地描述混响等非高斯对称概率密度序列特征,首先探讨并给出序列非高斯性、对称性判定方法,在此基础上,研究并比较分数低阶矩法和对数矩法两种对称α稳定分布参数估计方法,仿真及实测数据处理结果表明:对数矩法估计性能优于分数低阶矩法。
        Symmetrical alpha stable distribution can describe sequence with symmetry and non-Gaussian probability density such as reverberation.The paper first discusses and gives the method of judging symmetry and non-Gaussian property of probability density.Then based on this,two parameter estimation methods for symmetrical alpha stable distribution that are fractional lower-order moment method and logarithmic moment method are studied and compared.Simulation and experimental results show that the logarithmic moment method is preferable to fractional lower-order moment method.
引文
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