节点文献

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

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 王冉汪光哲张晨宇郭奇欣张永立余亮高源陈诺

【Author】 WANG Ran;WANG Guangzhe;ZHANG Chenyu;GUO Qixin;ZHANG Yongli;YU Liang;GAO Yuan;CHEN Nuo;School of Logistics Engineering, Shanghai Maritime University;College of Power and Energy Engineering, Harbin Engineering University;College of Electronic and Information Engineering, Tongji University;School of Civil Aviation, Northwestern Polytechnical University;Shanghai Marine Electronic Equipment Research Institute;Science and Technology on Underwater Acoustics Antagonizing Laboratory;

【通讯作者】 余亮;

【机构】 上海海事大学物流工程学院哈尔滨工程大学动力与能源工程学院同济大学电子与信息工程学院西北工业大学民航学院上海船舶电子设备研究所水声对抗技术重点实验室

【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。

【Abstract】 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.

【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
  • 【分类号】U666.7
  • 【下载频次】46
节点文献中: 

本文链接的文献网络图示:

本文的引文网络