基于贝叶斯混合源分离方法的声纳探测误差模型

声纳的探测误差模型是声纳仿真的核心技术。针对现有的声纳误差白噪声模型仿真逼真度低的问题,提出了基于贝叶斯混合源分离方法,建立了声纳的探测误差模型,提高了声纳误差模型的性能。与传统的白噪声仿真方法相比,基于贝叶斯混合源分离方法的声纳误差仿真模型具有较好的逼真度,可以有效地对声纳探测误差进行建模和预测。

Sonar Detection Error Model Based On Bayesian Unobservable and Observable Source Separation

The sonar detection error modeling is the core technology in sonar simulation. To model the sonar detection error, a method based on bayesian unobservable and observable source separation is proposed to find the sonar detection error model. Compared with conventional Gaussian noise model, the proposed model shows high performance on the sonar detection data.