噪声与振动控制2016，Vol.36Issue(3)：137-141,163,6.DOI:10.3969/j.issn.1006-1335.2016.03.028
双通道定位与盲分离结合的噪声分离方法
Noise Separation Based on Dual-channel Source Localization and Blind Source Separation
摘要
Abstract
The noise source identification based on dual-channel localization algorithm and blind source separation (BSS) is studied. According to the principle of the dual-channel localization algorithm, the noise sources in different places can be separated based on time-delay difference and intensity difference between the two channels in sound propagation process. When the radiation noise has a time-frequency overlap or multiple excitation sources appear in a same place, the dual-channel localization algorithm can separate the source signals in different places. Then, the BSS method is adopted to re-separate the multiple source signals at the same place. Finally, the feasibility of this method is verified in Roomsim, and the influence of source number and location on separation performance is analyzed. The results show that the separation method combining the dual-channel localization algorithm with BSS can separate the sources efficiently and is independent of the noise from the other positions. However, the dual-channel localization algorithm does not work well when the source number is larger than 3.关键词
声学/双通道定位/延时/衰减/盲源分离/噪声分离Key words
acoustics/dual-channel localization/time-delay difference/intensity difference/blind source separation (BSS)/noise separation分类
能源科技引用本文复制引用
卓瑞岩,向阳,李胜扬..双通道定位与盲分离结合的噪声分离方法[J].噪声与振动控制,2016,36(3):137-141,163,6.基金项目
国家自然科学基金资助项目 （）
