Research on the Methods of Underwater Vehicle Noise Source Identification

被引：0
|
作者：
Wang Qian [1 ]
Hou Hong [1 ]
Wang Hongwei [2 ]
Zhang Zhimin [2 ]
机构：
[1] Northwestern Polytech Univ, Coll Marine, Xian 710072, Peoples R China
[2] CSIC, Res Inst 705, Xian 710075, Peoples R China
来源：
2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) | 2015年
关键词：
Moving noise source; Array Signal Processing; CBF; DAMAS; DOA;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In order to verify the feasibility of the noise source identification method for underwater moving vehicle, an underwater sound source simulated test system was designed, which is simple and practically easy to implement. In the reservoir test, dynamic data were collected, which obviously have Doppler effect. The performances of the Conventional Beamforming (CBF) and the Deconvolution Approach for the Mapping of Acoustic Source (DAMAS) method which computes the position of the moving sound source are compared and analyzed in the experiment. The results show that the Direction of Arrival (DOA) deviation of both CBF and DAMAS are less than 0.20. DAMAS has better performance and it is comparatively more suitable for underwater vehicle noise source identification.
引用
收藏
页码：269 / 272
页数：4
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