Poster: Distributed Voronoi-based Acoustic Source Localization with Wireless Sensor Networks

Xueshu Zheng, Naigao Jin, Lei Wang, Mathew L. Wymore, D. Qiao
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Abstract

This paper presents DiVA, a new acoustic source localization scheme that uses an ad-hoc network of microphone sensor nodes to produce an accurate estimate of the source's location. DiVA uses pairwise comparisons of sound detection timestamps between local Voronoi neighbors to identify the node closest to the acoustic source and then estimates the source's location. The scheme improves on the state of the art by effectively dealing with anchor nodes' position error, time stamp measurement error and time synchronization error in real world conditions. Through simulation and experimental evaluations, DiVA is shown to be more robust than existing solutions under different error conditions.
海报:基于分布式voronoi的声源定位与无线传感器网络
本文提出了DiVA,一种新的声源定位方案,它使用麦克风传感器节点的自组织网络来产生对声源位置的准确估计。DiVA使用本地Voronoi邻居之间的声音检测时间戳的两两比较来识别最接近声源的节点,然后估计声源的位置。该方案在现有技术的基础上进行了改进,有效地处理了现实条件下锚节点的位置误差、时间戳测量误差和时间同步误差。仿真和实验结果表明,在不同误差条件下,DiVA算法比现有算法具有更好的鲁棒性。
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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