Parameter Estimation for Class A Modeled Ocean Ambient Noise

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,)

Journal of Engineering and Technological Sciences
Vol 50, No 3 (2018)

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.