文章摘要
余亮,潘铮,陈正武,高建正,蒋伟康.基于最优收缩的传声器阵列部分相干噪声去噪方法[J].声学技术,2021,40(5):671~679
基于最优收缩的传声器阵列部分相干噪声去噪方法
Denoising method of partial coherent noise of microphone array based on Opt-Shrink
投稿时间:2020-07-02  修订日期:2020-07-30
DOI:10.16300/j.cnki.1000-3630.2021.05.013
中文关键词: 波束形成  部分相干噪声  传声器阵列去噪  低秩稀疏假设
英文关键词: beamforming  partially coherent noise  microphone array denoising  low rank-sparse assumption
基金项目:自然科学基金(11704248,5183500)、上海交通大学“新进青年教师启动计划”(18X100040061)资助。
作者单位E-mail
余亮 上海交通大学 机械系统与振动国家重点实验室, 上海 200240  
潘铮 上海交通大学 智能汽车研究所, 上海 200240  
陈正武 中国空气动力研究与发展中心气动噪声控制重点实验室, 四川绵阳 621000  
高建正 上海交通大学 机械系统与振动国家重点实验室, 上海 200240  
蒋伟康 上海交通大学 机械系统与振动国家重点实验室, 上海 200240 wkjiang@sjtu.edu.cn 
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中文摘要:
      传声器阵列信号的去噪问题对波束形成方法具有重大意义。在复杂干扰环境下,背景噪声的分布不再满足传统的互不相干假设,而更趋近于部分相干。文章研究了空间噪声的分布机理和部分相干噪声理论,并提出了一种在已知声源个数下的传声器阵列部分相干噪声的去噪方法:通过声源噪声的低秩假设以及部分相干噪声的稀疏假设,基于最优收缩方法(Opt-Shrink)迭代提取传声器阵列互谱矩阵的低秩部分,实现去噪的目的。通过仿真,验证了该方法在相干通道数为10和25时,可以获得明显的成像结果;而传统针对不相干噪声去噪的对角线移除方法(DiagonalRemoval,DR)在相干通道数较多时,声源定位结果较差。在强干扰低信噪比的声源定位实验中,该方法相对于对角线移除方法可以得到更好的去噪效果。
英文摘要:
      The denoising of microphone array signal is of great significance to its beamforming. In complex interference environment, the distribution of background noise no longer satisfies the traditional hypothesis of mutual incoherence, but tends to be partial coherent. Therefore, the distribution mechanism of spatial noise and the theory of partially coherent noise are studied, and a denoising method for partially coherent noise of microphone array under the condition of known number of sound sources is proposed. Based on the low rank assumption of sound source and the sparse assumption of partially coherent noise, the low rank part of cross spectrum matrix of microphone array is extracted iteratively based on the Opt-Shrink method. The simulation results show that the method can obtain unambiguous image results when the number of coherent channels is 10 and 25. However, the traditional diagonal removal (DR) method for incoherent denoising has poor sound source localization results for the large number of coherent channels. In the experiments of sound source localization under strong interference and low signal-to-noise ratio, the proposed method can get better denoising effect than the diagonal removal method.
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