融合稀疏到达方向估计的声源定位

Á. Lédeczi, Gergely Kis, B. Fehér, P. Völgyesi, Gyorgy Balogh
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引用次数: 14

摘要

提出了一种基于无线传感器网络的声源定位与跟踪系统。每个单独的节点都有一个特殊用途的传感器板,带有四个声学通道和一个数字罗盘,可以对声源进行到达方向(DOA)估计。在检测到感兴趣的源后,稀疏部署的传感器节点将它们的DOA估计报告给融合数据以进行精确定位的基站。由于传感器的广泛分布和新型传感器融合技术,该方法可以处理混响环境中普遍存在的多重测量误差。本文介绍了系统的总体结构,以及先进的传感器板的结构。在此基础上,介绍了DOA估计算法和用于协调感知与通信的中间件服务,介绍了传感器融合算法,并进行了详细的误差分析
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acoustic Source Localization Fusing Sparse Direction of Arrival Estimates
This paper proposes a wireless sensor network based acoustics source localization and tracking system. Each individual node has a special purpose sensor board with four acoustic channels and a digital compass enabling direction of arrival (DOA) estimation of acoustic sources. Upon detecting a source of interest, the sparsely deployed sensor nodes report their DOA estimates to the base station that fuses the data for accurate localization. Due to the widely distributed sensing and the novel sensor fusion technique, the method can handle multiple measurement errors prevalent in reverberant environments. The paper presents the overall architecture of the system, as well as that of the advanced sensor board. Furthermore, it describes the DOA estimation algorithm and the applied middleware services for coordinated sensing and communication, introduces the sensor fusion algorithm and presents a detailed error analysis
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