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基于改进时延估计的声源定位算法

程方晓 刘璐 姚清华 韩笑 宋曦

吉林大学学报(理学版)2018,Vol.56Issue(3):681-687,7.
吉林大学学报(理学版)2018,Vol.56Issue(3):681-687,7.DOI:10.13413/j.cnki.jdxblxb.2018.03.35

基于改进时延估计的声源定位算法

Acoustic Source Localization Algorithm Based on Improved Time Delay Estimation

程方晓 1刘璐 1姚清华 1韩笑 2宋曦3

作者信息

  • 1. 长春工业大学电气与电子工程学院 ,长春 130012
  • 2. 国家电网公司信息通信分公司 ,北京100761
  • 3. 夏威夷大学土木与环境工程学院 ,美国夏威夷州火奴鲁鲁96816
  • 折叠

摘要

Abstract

Aiming at the problems of slow convergence rate and low positioning accuracy of the indoor acoustic source localization algorithms under the condition of strong noise and strong reverberation , we proposed an acoustic source localization method based on improved time delay estimation .The method was based on a single source multiple reverberation model . Firstly , the quaternary cross microphone array was used to estimate the time delay .Secondly ,on the basis of the generalized cross-correlation time delay estimation algorithm ,quadratic correlation method was introduced to weaken the noise interference .At the same time ,the least mean square (LMS) adaptive filtering algorithm was used to compensate for the deficiencies of the generalized cross-correlation method and improve the time delay estimation precision in the reverberation environment .Finally ,the acoustic source was located by the far-field approximation geometric method .Experimental results show that ,compared with the generalized cross-correlation-phase transform (GCC-PHAT)algorithm ,the proposed method has better anti-noise and anti-reverberation abilities ,and achieves more accurate positioning results .

关键词

信息处理技术/强噪声和强混响/室内声源定位/LMS自适应滤波/二次相关法

Key words

information processing technology/strong noise and strong reverberation/indoor acoustic source localization/LMS adaptive filtering/quadratic correlation method

分类

信息技术与安全科学

引用本文复制引用

程方晓,刘璐,姚清华,韩笑,宋曦..基于改进时延估计的声源定位算法[J].吉林大学学报(理学版),2018,56(3):681-687,7.

基金项目

吉林省科技发展计划项目(批准号:20160203071GX). (批准号:20160203071GX)

吉林大学学报(理学版)

OA北大核心CSTPCD

1671-5489

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