Parameter Estimation for Class A Modeled Ocean Ambient Noise

Xuebo Zhang, Wenwei Ying, Bo Yang

Abstract


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.

Keywords


characteristic function; class A; noise modeling;non-Gaussian noise; parameter estimation; quantile-quantile (Q-Q) plot

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References


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DOI: http://dx.doi.org/10.5614%2Fj.eng.technol.sci.2018.50.3.2

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