水下线谱噪声源识别的波束域时频分析方法研究

发布时间：2018-06-03 08:33

本文选题：噪声源识别 + 多普勒效应　；参考：《物理学报》2015年17期

【摘要】：从联合空时频三维信息从发,提出了波束域时频分析识别水下运动航行器低频线谱噪声源位置的方法.首先,利用小孔径圆环阵的超指向性波束形成,将各线谱噪声源匀速通过正横位置附近时产生的多普勒信号在时域上分离.其次,分别使用伪Wigner-Ville分布和调频小波变换两种时频分析方法对波束输出的信号进行处理,得到各噪声源信号的时频图像.最后,转换时间坐标到空间并参考配置信标,即可识别低频线谱噪声源在水下航行器上的位置.该方法解决了阵列识别水下低频噪声源的孔径受限问题,同时对处理同频相干噪声源也适用.仿真试验结果表明:两种波束域时频分析方法都能较精确地识别低频线谱噪声源的位置;在测量系统信息的配合下,波束域调频小波变换的识别效果更优.
[Abstract]:In this paper, a beamspace time-frequency analysis method is proposed to identify the location of low frequency line spectrum noise source of underwater vehicle. Firstly, using the hyperdirectivity beamforming of the small aperture ring array, the Doppler signals generated by the linear spectral noise sources passing through the transverse position are separated in time domain. Secondly, two time-frequency analysis methods, pseudo-Wigner-Ville distribution and FM wavelet transform, are used to process the signals from the beam and obtain the time-frequency images of each noise source signal. Finally, the position of the low-frequency line-spectrum noise source on the underwater vehicle can be identified by converting the time coordinate to the space and referring to the configuration beacon. This method solves the problem of aperture limitation for array identification of underwater low frequency noise sources, and is also applicable to the processing of coherent noise sources of the same frequency. The simulation results show that both beamspace time-frequency analysis methods can accurately identify the position of low-frequency linear spectrum noise source, and the recognition effect of beamspace FM wavelet transform is better with the information of measurement system.
【作者单位】：西北工业大学航海学院;
【基金】：国家自然科学基金(批准号:11274253)资助的课题~~
【分类号】：U661.44;TN911.7

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