系统仿真学报 ›› 2015, Vol. 27 ›› Issue (7): 1556-1562.

• 信息、控制、决策与仿真 • 上一篇    下一篇

自适应多通道双L型麦克风阵列声源定位算法

郭业才1,2, 朱赛男1, 张宁1   

  1. 1.南京信息工程大学 江苏省气象探测与信息处理重点实验室,南京 210044;
    2.江苏省大气环境与装备技术协同创新中心, 南京 210044
  • 收稿日期:2014-06-15 修回日期:2014-08-16 出版日期:2015-07-08 发布日期:2020-07-31
  • 作者简介:郭业才(1962-), 男, 安徽安庆, 教授, 博导, 研究方向为通信信号处理、系统仿真和水声工程。
  • 基金资助:
    江苏省高校自然科学基金(13KJA510001)重大资助项目; 高校科研成果产业化推进项目(JHB 2012-9)资助项目; 江苏省高校“信息与通信工程”优势学科建设工程资助项目名

Adaptive Multichannel Double L-Shaped Microphone Array Sound Source Localization Algorithm

Guo Yecai1,2, Zhu Sainan1, Zhang Ning1   

  1. 1. Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, China;
    2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment, Nanjing 210044, China
  • Received:2014-06-15 Revised:2014-08-16 Online:2015-07-08 Published:2020-07-31

摘要: 针对室内环境中麦克风阵列声源定位算法抗噪声和混响能力不强、定位估计精度低等问题,提出了一种基于自适应多通道双L型麦克风阵列的室内声源定位算法。在单源多元混响模型下,采用归一化多通道频域最小均方算法,估计了不同阵元的冲激响应并计算了时延;由惩罚函数对频谱能量进行了修正,提高了抗噪声能力、避免了信道估计恶化;采用滤波器长度限制法,提高了抗混响能力;利用双L型麦克风阵列结构进行室内声源定位,提高了定位精度。实验表明,在室内环境下,文中算法具有较强的声源定位性能,且能满足实际要求。

关键词: 声源定位, 自适应多通道, 双L型阵列, 麦克风

Abstract: Aiming at the lack of ability to resist noise and reverberation and the location estimation low accuracy for the sound source localization method based on microphone array in the indoor sound environments, a sound source localization algorithm based on adaptive multichannel double L-shaped microphone array was proposed. In this proposed algorithm, normalized multichannel frequency-domain least mean square algorithm was used to estimate the impulse responses of different array elements and acquire the time delay under condition of the single source and multiple reverberation model, the spectrum energy was modified by penalty function to improve the ability to suppress noise and avoid channel estimation deterioration, and the method on limited length of the filter was employed for improving the ability to suppress reverberation, as well as double L-shaped microphone array structure was used to improve the localization accuracy in the indoor sound environments. The simulation results show that the proposed algorithm has higher performance of sound source localization in indoor environment and meets the actual demand.

Key words: sound source localization, adaptive multichannel, double L-shaped array, microphone

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