Parameter Estimation for Class A Modeled Ocean Ambient Noise | Zendy

Xuebo Zhang | Zendy; Wenwei Ying | Zendy; Bo Yang | Zendy

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Parameter Estimation for Class A Modeled Ocean Ambient Noise

Author(s) -

Xuebo Zhang,

Wenwei Ying,

Bo Yang

Publication year - 2018

Publication title -

journal of engineering and technological sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.202

H-Index - 14

eISSN - 2338-5502

pISSN - 2337-5779

DOI - 10.5614/j.eng.technol.sci.2018.50.3.2

Subject(s) - gaussian noise , quantile , noise (video) , ambient noise level , gaussian , mathematics , gradient noise , computer science , signal (programming language) , noise measurement , acoustics , algorithm , statistics , noise reduction , noise floor , artificial intelligence , physics , quantum mechanics , image (mathematics) , sound (geography) , programming language

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.

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