节点文献
声矢量联合的迭代广义逆波束形成噪声源定位
Noise source localization based on acoustical vector iterative generalized inverse beamforming
【Author】 TIAN De-yan;SHI Sheng-guo;XU Zhong-en;Pilot National Laboratory for Marine Science and Technology(Qingdao);College of Underwater Acoustic Engineering, Harbin Engineering University;
【机构】 青岛海洋科学与技术试点国家实验室海洋军民融合联合实验室; 哈尔滨工程大学水声工程学院;
【摘要】 针对水下大型结构辐射噪声源定位识别问题,结合声矢量联合处理技术,提出了基于波束形成正则化矩阵的迭代广义逆波束形成(FBRM-IGIB)方法。首先,对接收信号进行声矢量联合处理,构建声压与振速的互协方差矩阵,降低可处理的信噪比门限;然后,引入波束形成正则化矩阵,解决传统逆波束形成算法的不适定性;而后,利用循环迭代广义逆波束形成,对波束输出结果逐步平滑处理,实现噪声源的定位识别。理论分析与仿真结果表明,该方法改善了低频段的定位性能,提高了噪声源定位识别的空间分辨率和动态范围。
【Abstract】 In order to solve the localization problem of large underwater radiation sources, an iterative generalized inverse beamforming(FBRM-IGIB) method based on the functional beamforming regularization matrix is proposed. Firstly, the covariance matrix of sound pressure and vibration velocity is constructed and the threshold of signal-to-noise ratio that can be processed is reduced. Then, the beamforming regularization matrix is introduced to solve the ill-posedness of the traditional inverse beamforming algorithm. Then, By iteratively iterative generalized inverse beamforming, the output of the beamforming is gradually smoothed to locate and identify the noise source. Theoretical analysis and simulation results show that this method can improve the localization performance of low frequency band and improve the spatial resolution and dynamic range of noise source localization.
【Key words】 vector joint processing; generalized inverse beamforming; noise source localization; regularization;
- 【会议录名称】 2018年鲁浙苏黑四省声学技术学术交流会论文集
- 【会议名称】2018年鲁浙苏黑四省声学技术学术交流会
- 【会议时间】2018-09-20
- 【会议地点】中国山东青岛
- 【分类号】TB56
- 【主办单位】山东声学学会、浙江省声学学会、江苏省声学学会、黑龙江省声学学会、水声技术重点实验室、声纳技术重点实验室