The statistical characteristic of ocean ambient noise plays an important role in developing underwater signal processors. Considering that the noise in shallow water shows the impulsive nature, non-Gaussian noise models are usually applied to model the ocean ambient noise. In this study, the ocean ambient noise is modelled by using the Middleton Class B model, which can be decomposed into Gaussian and non-Gaussian models. Then, the parameters of Class B model are estimated based on the least-square estimation method, which can be deduced by using the characteristic function of the Middleton Class B model. The processing results of simulated data and real data indicate that the presented method well estimates the parameters of Class B modelled noise. Besides, it further shows that the Middleton Class B model is suitable for modelling the impulsive noise in shallow water.

中文翻译：

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用B类模型估算水下脉冲噪声

海洋环境噪声的统计特性在开发水下信号处理器中起着重要作用。考虑到浅水噪声具有脉冲性质，通常采用非高斯噪声模型对海洋环境噪声进行建模。在这项研究中，使用Middleton B类模型对海洋环境噪声进行建模，可以将其分解为高斯模型和非高斯模型。然后，基于最小二乘估计方法估计B类模型的参数，可以使用Middleton B类模型的特征函数推导得出。仿真数据和真实数据的处理结果表明，该方法很好地估计了B类建模噪声的参数。除了，