水下运动目标线谱噪声源识别方法研究  

Identification of Tone Noise Sources of Underwater Moving Target

作　　者：徐灵基[1] 杨益新[1] 

机构地区：[1]西北工业大学航海学院,西安710072

出　　处：《电子与信息学报》2014年第5期1119-1125,共7页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(11274253)资助课题

摘　　要：根据运动声源的多普勒频移特性,该文提出单水听器识别低频线谱噪声源位置的3种方法。首先,利用加窗互Wigner-Ville分布(cross Wigner-Ville Distribution,XWVD)精确提取微弱多普勒频移曲线后,分别使用频率交点和最小二乘来估计噪声源通过水听器的正横时刻从而识别噪声源位置,这两种方法称为频率交点法和最小二乘法。进一步地,利用直接对多普勒信号做WVD后自交叉项的能量发散特性,得到一种计算量相对较小的噪声源识别方法。水池试验和海上试验分析结果表明,基于多普勒效应的3种方法都对噪声源进行了有效定位,性能明显优于现有的通过特性法,其中最小二乘法定位精度略优于基于交叉项特性的方法,频率交点法定位误差略大。According to the Doppler shift of moving acoustic source, three methods are presented for identification of noise sources of underwater moving target with single hydrophone. Firstly, the weak Doppler shift curves are obtained accurately by windowed cross Wigner-Ville Distribution （XWVD）. Then the abeam moments are estimated by frequency intersection or least square algorithm. Locations of noise sources are obtained by referring to beacon source at last. These two methods are respectively called frequency intersection method and least square method. Furthermore, based on the effect of energy dispersion caused by inner artifacts, another identification method is proposed by applying WVD to Doppler signal directly, and this cross-term method needs less computation. The water tank and sea experiment results show that performances of these proposed methods are better than the existing passing property method. Among the three methods, the least square method is the best one, next is the cross-term method, and frequency intersection method is the worst in comparison.

关 键 词：水声信号处理 噪声源识别 水下运动目标 多普勒频移 加窗互Wigner-Ville分布 最小二乘估计 

分 类 号：TB566[交通运输工程—水声工程]