朱荣, 白光伟, 沈航, 曹磊, 季正波. 基于声音测距的室内对等协作定位[J]. 微电子学与计算机, 2015, 32(5): 11-15. DOI: 10.19304/j.cnki.issn1000-7180.2015.05.003
引用本文: 朱荣, 白光伟, 沈航, 曹磊, 季正波. 基于声音测距的室内对等协作定位[J]. 微电子学与计算机, 2015, 32(5): 11-15. DOI: 10.19304/j.cnki.issn1000-7180.2015.05.003
ZHU Rong, BAI Guang-wei, SHEN Hang, CAO Lei, JI Zheng-bo. Acoustic-Ranging-Based Indoor Peer-Assisted Localization[J]. Microelectronics & Computer, 2015, 32(5): 11-15. DOI: 10.19304/j.cnki.issn1000-7180.2015.05.003
Citation: ZHU Rong, BAI Guang-wei, SHEN Hang, CAO Lei, JI Zheng-bo. Acoustic-Ranging-Based Indoor Peer-Assisted Localization[J]. Microelectronics & Computer, 2015, 32(5): 11-15. DOI: 10.19304/j.cnki.issn1000-7180.2015.05.003

基于声音测距的室内对等协作定位

Acoustic-Ranging-Based Indoor Peer-Assisted Localization

  • 摘要: 提出了基于声音测距的室内对等协作定位方法,该方法利用高精度的声音测距结合对等协作定位来优化初步定位结果,从而降低信号时变性的影响,且无需进行数据收集.实验结果表明,相比于现有典型的室内定位方法,它在大大降低工作量的同时实现了实时精确的室内定位.

     

    Abstract: An Acoustic-Ranging-Based Indoor Peer-Assisted Localization(ARPL) method is proposed, which combines highly accurate acoustic ranging and peer-assisted localization to optimize the primary positioning results, and alleviates the temporal variance of signals. Data collection is no longer needed. The experimental results show that, compared with existing typical indoor location method, the proposed ARPL achieved real-time and accurate localization as well as reduced the workload.

     

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