HearLoc: Locating Unknown Sound Sources in 3D With a Small-Sized Microphone Array

IF 7.7 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Zhaohui Li;Yongmin Zhang;Lin Cai;Yaoxue Zhang
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引用次数: 0

Abstract

Indoor Sound Source Localization (ISSL) is under growing focus with the rapid development of smart IOT intelligence. The predominant approaches typically involve constructing large microphone (Mic) array systems or extracting multiple angles of arrival (AOAs). However, the performance of these solutions is often constrained by the physical size of the array. Besides, there has been limited focus on 3D localization with a single small-sized Mic array. In this paper, we propose HearLoc, an ISSL system that can directly locate 3D sources with a ten-$cm$ Mic array. We demonstrate that the localization ability and dimensional capability can be significantly enhanced by incorporating the time differences of arrival (TDOAs) between the line-of-sight (LOS) and ECHO signals from nearby reflective surfaces. Our approach involves a localization method that selectively sums the correlation powers at useful TDOAs induced by each location. We also design a data processing pipeline with interpolation, normalization and pruning techniques to improve system accuracy and efficiency. To further enhance scalability, we design an iterative algorithm for the ISSL problem with multiple sources and an array location calibration scheme. Experiments demonstrate that the HearLoc can effectively locate sound sources, exhibiting $2\times$/$3.7\times$ improvements in accuracy for 2D and 3D localization, respectively, and a $4\times$ increase in efficiency compared to the existing AOA-based ISSL solutions.
HearLoc:用小型麦克风阵列在3D中定位未知声源
随着智能物联网智能的快速发展,室内声源定位(ISSL)越来越受到人们的关注。主要的方法通常包括构建大型麦克风阵列系统或提取多个到达角。然而,这些解决方案的性能通常受到阵列的物理大小的限制。此外,对单个小尺寸麦克风阵列的3D定位关注有限。在本文中,我们提出了一种可直接定位三维源的ISSL系统——HearLoc。研究表明,结合视距(LOS)和回波信号之间的到达时间差(TDOAs)可以显著增强定位能力和量程能力。我们的方法涉及一种定位方法,该方法选择性地对每个位置引起的有用tdoa的相关功率求和。采用插值、归一化和剪枝技术设计了数据处理流水线,提高了系统的精度和效率。为了进一步提高可扩展性,我们设计了一种多源ISSL问题的迭代算法和阵列位置校准方案。实验表明,HearLoc可以有效地定位声源,与现有的基于aoa的ISSL解决方案相比,其2D和3D定位精度分别提高了2倍/ 3.7倍,效率提高了4倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Mobile Computing
IEEE Transactions on Mobile Computing 工程技术-电信学
CiteScore
12.90
自引率
2.50%
发文量
403
审稿时长
6.6 months
期刊介绍: IEEE Transactions on Mobile Computing addresses key technical issues related to various aspects of mobile computing. This includes (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest span a wide range, covering aspects like mobile networks and hosts, mobility management, multimedia, operating system support, power management, online and mobile environments, security, scalability, reliability, and emerging technologies such as wearable computers, body area networks, and wireless sensor networks. The journal serves as a comprehensive platform for advancements in mobile computing research.
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