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| 基于最小熵值的麦克风阵列声源定位算法 | |
| 引用本文： | 刘颖,刘建平,夏靖波.基于最小熵值的麦克风阵列声源定位算法[J].计算机工程,2012,38(7):145-147. |
| 作者姓名： | 刘颖 刘建平 夏靖波 |
| 作者单位： | 1. 空军工程大学电讯工程学院,西安710077;武警工程学院通信工程系,西安710086 2. 武警工程学院通信工程系,西安,710086 3. 空军工程大学电讯工程学院,西安,710077 |
| 摘 要： | 针对传统麦克风阵列声源定位算法抗噪声及混响能力不强的问题，提出一种基于最小熵值和随机域压缩的麦克风阵列声源定位算法。利用最小熵值方法对麦克风阵列进行时延估计，并与随机域压缩方法相结合，对声源进行空间搜索。仿真实验结果表明，该算法在定位精度、抗噪声及抗混响能力方面均优于广义互相关-相位变换算法。 |
| 关 键 词： | 声源定位 麦克风阵列 最小熵值 随机域压缩 拉普拉斯分布 时延估计 |
| 收稿时间： | 2011-07-25 |
Microphone Array Acoustic Source Localization Algorithm Based on Minimum Entropy |
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| LIU Ying , LIU Jian-ping , XIA Jing-bo.Microphone Array Acoustic Source Localization Algorithm Based on Minimum Entropy[J].Computer Engineering,2012,38(7):145-147. | |
| Authors: | LIU Ying LIU Jian-ping XIA Jing-bo |
| Affiliation: | 1(1.Institute of Telecommunication Engineering,Air Force Engineering University,Xi’an 710077,China;2.Department of Communication Engineering,Institute of Chinese Armed Police Force,Xi’an 710086,China) |
| Abstract: | Accurate localization of acoustic sources in high noise and reverberation environment is a problem for traditional source localization algorithm.This paper proposes a novel acoustic source localization algorithm for microphone array——Minimum Entropy-stochastic Region Contraction(ME-SRC).The algorithm shows that acoustic source with Laplace distribution can be developed to estimate time delays between microphones on a basis of ME and SRC is used to localize the acoustic source in search space.Results show that the proposed ME-SRC algorithm is much more robust than GCC-PHAT in noise and reverberation environment. |
| Keywords: | acoustic source localization microphone array minimum entropy stochastic region contraction Laplace distribution time delay estimation |
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