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The α stable distribution model in ocean ambient noise 被引量:1

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摘要 In view of the non-Gaussian ocean ambient noise,the a stable distribution is applied to the statistical modeling.Firstly,the correspondence between the model characteristic exponent and the sample kurtosis is established based on the similarity in physical meaning of the two.And the kurtosis of the sum of two independent random variables is deduced,and this can be used to explain the kurtosis characteristic of interfered background noise.Secondly,some numerical simulations are made to model samples with higher and lower kurtosis than three,the results show good adaptability in leptokurtic distribution.Finally,three typical samples are taken under quiet environment,air gun interference and ship interference environment.Their Gaussianities are judged by the quantile-quantile plot.And then the four parameters of the model are estimated by the quantile based method and characteristic function based method jointly of the three categories.The statistical law of the characteristic exponent is emphatically analyzed:in the quiet environment,the characteristic exponent is close to 2.0,which is the value of Gaussian model;but for the air gun data,it is between 1.2 and 1.7,which means leptokurtic;and under the interference of the sailing ship,the value of a is related to the ship speed and the distance from the ship source to the receiving location,the more significant the ship impact is,the smaller the characteristic exponent is,which is consistent with the variation of kurtosis of disturbing noise in physical meaning.The results of the model verification show that the a stable distribution behaves well under the above three kinds of trial conditions,especially for the air gun environment which is far superior to the normal distribution.
出处 《Chinese Journal of Acoustics》 CSCD 2021年第1期63-79,共17页 声学学报(英文版)
基金 supported by the National Natural Science Foundation of China (11874384)。
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  • 1山拜.达拉拜,黄玉划.几类非高斯噪声模型的转换研究[J].电子学报,2004,32(7):1090-1093. 被引量:18
  • 2朱晓波,王首勇.α稳定分布噪声下信号的分数低阶协方差谱估计[J].空军雷达学院学报,2006,20(4):266-269. 被引量:6
  • 3相敬林.微弱信号检测技术与近感系统[M].西安:西北工业大学出版社,1993..
  • 4Crouse M S, Nowak R K, Baraniuk R G. Wavelet-based statistical signal processing using hidden Markov models. IEEE Transactions on Signal Processing, 1998, 46(4): 886-902.
  • 5VAPNIKVN 张学工译.统计学习理论的本质[M].清华大学出版社,2000..
  • 6Nikias C L, Shao M. Signal Processing with Alpha-Stable Distributions and Applications [M]. New York: John Wiley and Sons, Inc., 1995:3 - 10.
  • 7Georgiou P G , Tsakalides P. Alpha-stable modeling of noise and robust time-delay estimation in the presence of impulsive noise [J]. IEEE Trans. on Multimedia, 1999, 1(3): 291 - 301.
  • 8Koutrouvelis I A. Regression type estimation of the parameters of stable laws [J]. JASA, 1980, 75(4): 918 - 928.
  • 9Tsihrintzis G A, Nikias C L. Fast estimation of the parameters of alpha-stable impulsive interference [J]. IEEE Trans. on Signal Processing, 1996, 44(6): 1492- 1503.
  • 10Shao M, Nikias C L. Signal processing with fractional lower order moments stable processes and their applications [ C ] // Proceedings of the IEEE, July 1993, 81 (7) : 986 - 1010.

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