Parameter Estimation for Class A Modeled Ocean Ambient Noise

Main Authors: Zhang, Xuebo; Laboratory of Underwater Acoustics, Middle of Renmin Avenue, Xiashan District, Zhanjiang 524000,, Ying, Wenwei; Naval Research Academy, No. 1 of the Old West Road, Changping District, Beijing 102249,, Yang, Bo; Laboratory of Underwater Acoustics, Middle of Renmin Avenue, Xiashan District, Zhanjiang 524000,
Other Authors: National Nature Science Foundation in China under grant no. 61601473 and the National Key Laboratory Foundation in China under grant no. 9140C290401150C29132
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: ITB Journal Publisher, LPPM ITB , 2018
Subjects:
Online Access: http://journals.itb.ac.id/index.php/jets/article/view/4073
http://journals.itb.ac.id/index.php/jets/article/view/4073/3453
http://journals.itb.ac.id/index.php/jets/article/downloadSuppFile/4073/1076
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http://journals.itb.ac.id/index.php/jets/article/downloadSuppFile/4073/1078
http://journals.itb.ac.id/index.php/jets/article/downloadSuppFile/4073/1079
http://journals.itb.ac.id/index.php/jets/article/downloadSuppFile/4073/1080
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http://journals.itb.ac.id/index.php/jets/article/downloadSuppFile/4073/1344
Daftar Isi:
  • A Gaussian distribution is used by all traditional underwater acoustic signal processors, thus neglecting the impulsive property of ocean ambient noise in shallow waters. Undoubtedly, signal processors designed with a Gaussian model are sub-optimal in the presence of non-Gaussian noise. To solve this problem, firstly a quantile-quantile (Q-Q) plot of real data was analyzed, which further showed the necessity of investigating a non-Gaussian noise model. A Middleton Class A noise model considering impulsive noise was used to model non-Gaussian noise in shallow waters. After that, parameter estimation for the Class A model was carried out with the characteristic function. Lastly, the effectiveness of the method proposed in this paper was verified by using simulated data and real data.