拖曳阵列流致噪声的混合高斯建模与抑制  

Gaussian mixture model fitting and suppression of towed array flow noise

作　　者：王冉 汪光哲 张晨宇 郭奇欣 张永立 余亮 高源[5,6] 陈诺 WANG Ran;WANG Guangzhe;ZHANG Chenyu;GUO Qixin;ZHANG Yongli;YU Liang;GAO Yuan;CHEN Nuo(School of Logistics Engineering,Shanghai Maritime University,Shanghai 201306;College of Power and Energy Engineering,Harbin Engineering University,Harbin 150006;College of Electronic and Information Engineering,Tongji University,Shanghai 201804;School of Civil Aviation,Northwestern Polytechnical University,Xi’an 710072;Shanghai Marine Electronic Equipment Research Institute,Shanghai 201108;Science and Technology on Underwater Acoustics Antagonizing Laboratory,Shanghai 201108)

机构地区：[1]上海海事大学物流工程学院,上海201306 [2]哈尔滨工程大学动力与能源工程学院,哈尔滨150006 [3]同济大学电子与信息工程学院,上海201804 [4]西北工业大学民航学院,西安710072 [5]上海船舶电子设备研究所,上海201108 [6]水声对抗技术重点实验室,上海201108

出　　处：《声学学报》2024年第5期1030-1040,共11页Acta Acustica

基　　金：国家自然科学基金项目(12074254,51505277);上海市自然科学基金项目(21ZR1434100);上海交通大学深蓝计划项目(SL2021MS009);上海交通大学机械系统与振动国家重点实验室开放基金课题(MSV202305)资助。

摘　　要：湍流边界层压力起伏导致拖曳阵列流噪声难以精确建模与抑制,为此分析了拖曳阵列流噪声的产生机理与统计特性。针对非高斯分布的拖曳阵列流噪声,发展了混合高斯模型建模方法,同时建立了多通道的拖曳阵列中声源信号的低秩模型,并对流噪声和声源信号模型中的参数通过期望最大算法进行求解,最终实现了水听器接收信号中的流噪声与声源信号成分分离。对实际湖试数据进行流噪声抑制与目标方位估计,结果表明,在不影响定位结果的前提下,最大旁瓣级抑制达到8~10 dB。Aiming at the problem that it is difficult to accurately model and suppress the towed array flow noise caused by the pressure fluctuation in the turbulent boundary layer,this paper analyzes the generation mechanism of the towed array flow noise and the statistical properties of the noise.A hybrid Gaussian model modelling method is developed for the non-Gaussian distributed towed array flow noise,and a low-rank model of the acoustic source signal in the multi-channel towed array is established.The parameters in the model of the flow noise and the acoustic source signal are solved by the expectation-maximization algorithm,which ultimately realizes the separation of the flow noise and acoustic source signal in the received signal of the hydrophone.The results of the flow noise suppression and target orientation estimation of the actual lake test data show that the maximum side-valve level suppression reaches 8−10 dB without affecting the localization results.

关 键 词：拖曳阵列 流噪声 混合高斯模型 期望最大算法 声呐探测 

分 类 号：U666.7[交通运输工程—船舶及航道工程]