【作者】 杨德森； 陈欢； 时胜国； 姜智超；

【Author】 YANG De-sen CHEN Huan SHI Sheng-guo JIANG zhi-chao (National Laboratory of Underwater Acoustic Technology,Harbin Engineering University, Harbin,15001)

【机构】 哈尔滨工程大学水声技术国防科技重点实验室；

【摘要】 针对声压阵噪声源最小方差无畸变响应(MVDR)聚焦波束形成近场定位方法的不足,文中介绍了基于MVDR算法的声矢量阵噪声源近场定位方法。该方法利用声矢量阵可以获得更多的声场信息,通过声压振速联合处理有效抑制噪声,提高基阵增益,降低可处理信噪比门限,进一步提高空间分辨力,去除虚假声源(左右模糊),准确找到噪声源相对于基阵的空间位置,从而采取有针对性的减振降噪措施。通过计算机仿真说明了本文算法即使在相对较远的测量距离、利用小孔径基阵处理低信噪比低频信号也能得到比较理想的空间分辨力,并通过湖试实验验证了本文算法的有效性,具有较广阔的工程应用前景。更多还原

【Abstract】 Due to the shortcomings of minimum variance distortion response(MVDR)beamforming focused near-field positioning methods,in this paper,the acoustic-based MVDR algorithm for vector array applying for near-field noise source location method is introduced.This method may obtain more sound- field information through acoustic vector array;through the joint of velocity and sound pressure it may inhibit noise effectively,increase the gain of array,decrease signal to noise ratio threshold,and at the same time improve spatial resolution,remove false sound source,fred the exact source of noise in relation to the spatial location of array—through which we can take targeted measures to reduce vibration noise.Through computer simulation,it shows that even in the relatively far distance measurement and using small aperture array processing low-frequency signals with low signal to noise ratio,the algorithm in this paper can also be a good spatial resolution.Lake experiment verifies the effectiveness of the algorithm—which shows the algorithm has a broader application in engineering.更多还原