论文:2014,Vol:32,Issue(6):912-916
引用本文:
王谦, 侯宏, 陈志菲, 秦晓辉, 黄云轲. 水下运动声源部位识别方法研究[J]. 西北工业大学学报
Wang Qian, Hou Hong, Chen Zhifei, Qin Xiaohui, Huang Yunke. Studying Underwater Moving Sound Source Identification[J]. Northwestern polytechnical university

水下运动声源部位识别方法研究
王谦1, 侯宏1, 陈志菲1, 秦晓辉2, 黄云轲1
1. 西北工业大学, 陕西 西安 710072;
2. 中国船舶重工集团公司第七○五研究所, 陕西 西安 710075
摘要:
为了对水下航行器噪声源部位识别方法的可行性进行验证,研制了一套模拟试验系统。设计了非均匀水听器线列阵,采用常规波束形成(CBF)算法和反卷积(DAMAS)算法对噪声源部位进行了识别。通过对水库试验中静止及运动状态模拟声源的辐射噪声解算,验证了水下运动声源部位识别试验方法的有效性。实验表明:2种噪声源识别算法平均定向偏差小于0.2°,其中反卷积算法性能更为优越,适用于水下航行器噪声源识别。
关键词:    阵列处理    自主水下航行器    波束形成    反卷积    波达方向    MATLAB   
Studying Underwater Moving Sound Source Identification
Wang Qian1, Hou Hong1, Chen Zhifei1, Qin Xiaohui2, Huang Yunke1
1. Northwesterm Polytechnical University, Xi'an 710072, China;
2. CSIC-The 705th Research Institute, Xi'an 710075, China
Abstract:
In order to verify the feasibility of the sound source identification method for underwater moving vehicle,a simulation test system is developed. A non-uniform hydrophone linear array is designed and the moving soundsource identification is achieved using respectively the CBF (Conventional Beamforming) method and the DAMAS(Deconvolution Approach for the Mapping of Acoustic Sources) method. We carry out the experiments in a reservoirfor respectively the moving mode of an underwater vehicle,simulating successfully the characteristics of underwatervehicle sound radiation and the possibility of the proposed sound source identification method. The results and theiranalysis show preliminarily that: (1) the DOA deviation of CBF and DAMAS are both less than 0.20; (2) DAMAShas superior performance and it is more suitable for underwater vehicle sound source identification.
Key words:    array processing    autonomous underwater vehicles    beamforming    deconvolution    direction of arrival    MATLAB   
收稿日期: 2014-05-12     修回日期:
DOI:
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作者简介: 王谦(1982-),西北工业大学博士研究生,中船重工第七○五研究所高级工程师,主要从事振动与噪声控制研究。
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