| 强混响条件下基于广义互相关的声源定位算法改进 |
| An Improvement for Accuracy of Acoustic Source Location Based on General Cross-correlation in High Reverberation Environment |
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| 中文摘要: |
| 针对特定声场环境，提出了一种强混响条件下基于广义互相关的声源定位算法的改进措施，即利用混响成分中包含的声源位置信息，提高声源定位的正确率。混响与噪声是影响声源定位的两个主要因素。目前声源定位的主要方法都是以降低信号中混响与噪声成分为目标的，如波束成形、空间谱估计以及到达时间差法等。其中基于广义互相关的声源定位算法属于到达时间差法的常用方法，具有实时性强与高鲁棒性的优势。本文采用镜像源模型对室内环境进行建模，分析声源到双麦克风的传播路径，利用混响中存在的声源位置信息剔除错误定位结果，从而提高定位正确率。最后利用蒙特卡洛法对本文提出的方法进行验证，结果表明该算法提高了强混响低信噪比条件下的声源定位正确率。 |
| 英文摘要: |
| Sound source location based on General Cross-correlation can be divided into two parts--time delay estimation and location estimation. Considering the cost and calculation speed, the location system based on GCC receives more and more concern from researchers. This paper provides a new approach to improve the accuracy of location estimation using signals from two microphones. For that reverberation carries information of location of acoustic source, we can separate the detail which contains information of sound source under assumption of knowing coordinate of microphones. This method can be applied to many aspects especially for humanoid robot. |
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| 中文关键词: 声源定位 到达时间法 镜像源模型 广义互相关 |
| 英文关键词:sound source location TOA Image Model GCC |
| 基金项目: |
| DOI：10.11823/j.issn.1674-5795.2018.01.09 |
| 引用本文：蒋相斌,白宗龙,孙金玮,黄博妍.强混响条件下基于广义互相关的声源定位算法改进[J].计测技术,2018,38(1):. |
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