采用声场成像的声源自适应降噪方法  

Adaptive noise reduction method for sound sources based on acoustic imaging

作　　者：江煊明 郑煜 王心华[3] JIANG Xuanming;ZHENG Yu;WANG Xinhua(School of Physical Science and Technology,Lanzhou University,Lanzhou 730000,China;School of Information Science and EngineeringLanzhou University,Lanzhou 730000,China;National Demonstration Center for Experimental Physics Education,Lanzhou University,Lanzhou 730000,China)

机构地区：[1]兰州大学物理科学与技术学院,甘肃兰州730000 [2]兰州大学信息科学与工程学院,甘肃兰州730000 [3]兰州大学物理学国家级实验教学示范中心,甘肃兰州730000

出　　处：《物理实验》2023年第8期48-55,60,共9页Physics Experimentation

基　　金：“中国高等教育”研究课题(No.21ZSLKJYYB11);兰州大学学生创新创业行动计划项目(No.20220230012)。

摘　　要：针对现有声音定位技术动态适应能力弱的问题,基于由21个MSM261S4030H0组成的麦克风阵列群和声波接收时间差算法实现的声源定位技术,提出声源自适应降噪方法.该方法在声场成像的基础上,通过能根据声源实际情况调整参量的异常值剔除和迭代修正复合式降噪过程,兼顾定位的准确性和实时性,实现8 m内的声源自适应定位.Aiming at the dilemma of weak dynamic adaptability of existing sound localization technology,a sound source adaptive noise reduction method based on a microphone array group composed of 21 MSM261S4030H0 and TDOA algorithm was proposed.On the basis of acoustic imaging,the new method which could balance the accuracy and real-time performance of localization by adjusting parameters according to the specific situation of the sound source in a composite noise reduction process that included removing outliers and iterative correction.The adaptive sound location of the sound source within 8 meters was achieved.

关 键 词：声音定位 声场成像 声源自适应 复合降噪 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]