ThunderLoc:基于智能手机的《雷霆》定位Crowdsensing

2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) Pub Date : 2018-06-01 DOI:10.1109/SAHCN.2018.8397150

Naigao Jin, Xinchaun Zhou, Chi Lin, Lei Wang, Yu Liu, Mathew L. Wymore, D. Qiao

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引用次数: 4

摘要

雷电定位是雷电定位系统的重要解决方案。本文设计了一个基于智能手机的雷电定位系统ThunderLoc。关键思想是通过众感机制采集智能手机双麦克风数据，将定位问题转化为汉明空间的搜索问题。我们利用智能手机集成双麦克风的TDOA。在对智能手机节点的TDOA测量进行量化后，通过最小化测量的二进制序列与数据库中的二进制向量之间的汉明距离来进行雷定位。评估结果表明，ThunderLoc能够有效地定位虚拟雷声，具有良好的鲁棒性。

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ThunderLoc: Smartphone-Based Crowdsensing for Thunder Localization

Thunder localization provides an important solution to lightning location systems. This paper designs a smartphone- based thunder localization system, ThunderLoc. The key idea is to turn the localization problem into search problem in Hamming space by collecting the dual-microphone data of smartphones via crowdsensing mechanism. We utilized the TDOA of dual- microphone integrated in smartphone. After the quantization with a bit for the TDOA measurement from the smartphone nodes, thunder localization is performed by minimizing the Hamming distance between the measured binary sequence and the binary vectors in a database. Evaluation results demonstrate that ThunderLoc can effectively localize the virtual thunder with good robustness.

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2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)

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