基于声音位置指纹的室内声源定位方法

王硕朋; 杨鹏; 孙昊

doi:10.11936/bjutxb2016050083

基于声音位置指纹的室内声源定位方法

doi: 10.11936/bjutxb2016050083

王硕朋^1,,
杨鹏¹,
孙昊^1,

1.
河北工业大学控制科学与工程学院, 天津 300130
2.
教育部智能康复装置与检测技术工程研究中心, 天津 300130
3.
河北省控制工程技术研究中心, 天津 300130

基金项目: 国家自然科学基金资助项目(61305101)；河北省自然科学基金资助项目(F2014202121, F2010000137)；河北省研究生创新资助项目(220056)

详细信息

作者简介:
作者简介: 王硕朋(1987—), 男, 博士研究生, 主要从事智能机器人控制、机器人定位、声源定位方面的研究, E-mail:wangsp_hebut@163.com

中图分类号: TP242.6;TP391.4
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出版历程
- 收稿日期: 2016-05-31
- 网络出版日期: 2022-09-13
- 刊出日期: 2017-02-01

Indoor Sound-position Fingerprint Method Based on Scenario Analysis

1.
School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China
2.
Smart Recovery Device and Testing Technology Engineering Research Center of Ministry of Education, Tianjin 300130, China
3.
Hebei Province Control Engineering Research Center, Tianjin 300130, China

摘要

摘要: 针对基于模型的声源定位方法在非结构化空间中应用所存在的模型依赖度高、定位精度低等问题,提出一种基于声音位置指纹的定位方法,通过将待定位点处的声源信号空间位置特征与定位数据库中信息进行比较从而完成声源定位. 该定位方法包括2个阶段:离线采样阶段,捕获各定位参考点处声源信号并完成位置特征提取,据此特征和参考点位置信息构建定位数据库;在线定位阶段,通过提取待定位点处实时信号特征并和定位数据库中信息进行匹配完成定位. 仿真实验结果表明:在麦克风数量较少、环境噪声干扰较大的情况下,该方法具有较小的声源位置估计偏差,定位效果可满足实际应用需求.
- 麦克风阵列 /
- 声源定位 /
- 声音位置指纹
Abstract: To solve the problems of high model dependence and low accuracy of sound source localization method based on geometric model in unstructured space, a localization method via sound-position fingerprint method was proposed. Position estimation was achieved by comparing the spatial characteristics of sound signal recorded at location point with the positioning database. The method included two stages. At the off-line sampling stage, sound signals of positioning reference nodes were obtained and the feature information was extracted to build the positioning database. While at the online stage, the real-time signal characteristics of pending sites were matched with the positioning database to accomplish the location task. Simulation results show that under the condition of sparse microphones and with large noise, the proposed localization method has rather small sound source position estimation bias, and the positioning performance can meet the demands of practical application.
- microphone array /
- sound source localization /
- sound-position fingerprint
The authors have declared that no competing interests exist.

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图 1 定位流程

Figure 1. Flow chart of localization process

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图 2 离线采样过程

Figure 2. Offline sampling process

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图 3 在线定位过程

Figure 3. Online location process

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图 4 声音信号捕获系统

Figure 4. Sound signal acquisition system

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图 5 基准通道信号端点检测

Figure 5. Endpoint detection of benchmark channel signal

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图 6 四通道信号端点检测

Figure 6. Endpoint detection of four-channel signals

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图 7 实验场景

Figure 7. Scene graph

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图 8 定位结果示意

Figure 8. Positioning results map

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图 9 定位误差

Figure 9. Location error

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参考文献(16)

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