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室内环境中基于天牛须寻优的普适定位方法

刘影 钱志鸿 贾迪

刘影, 钱志鸿, 贾迪. 室内环境中基于天牛须寻优的普适定位方法[J]. 电子与信息学报, 2019, 41(7): 1565-1571. doi: 10.11999/JEIT181021
引用本文: 刘影, 钱志鸿, 贾迪. 室内环境中基于天牛须寻优的普适定位方法[J]. 电子与信息学报, 2019, 41(7): 1565-1571. doi: 10.11999/JEIT181021
Ying LIU, Zhihong QIAN, Di JIA. Universal Localization Algorithm Based on Beetle Antennae Search in Indoor Environment[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1565-1571. doi: 10.11999/JEIT181021
Citation: Ying LIU, Zhihong QIAN, Di JIA. Universal Localization Algorithm Based on Beetle Antennae Search in Indoor Environment[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1565-1571. doi: 10.11999/JEIT181021

室内环境中基于天牛须寻优的普适定位方法

doi: 10.11999/JEIT181021
基金项目: 国家自然科学基金青年基金(61601213),辽宁省教育厅一般项目资金(LJ2017QL013),辽宁省博士启动基金(20170520098),中国博士后面上基金(2017M611252),辽宁省创新人才支持计划项目(LR2016045)
详细信息
    作者简介:

    刘影:女,1983年生,讲师,研究方向为无线定位、非接触式物体识别

    钱志鸿:男,1957年生,教授、博士生导师,研究方向为基于物联网,D2D,Wi-Fi,RFID等无线网络与通信技术

    贾迪:男,1982年生,副教授,研究方向为图像处理、计算机视觉及模式识别

    通讯作者:

    刘影 lycommunication@126.com

  • 中图分类号: TN92

Universal Localization Algorithm Based on Beetle Antennae Search in Indoor Environment

Funds: The National Natural Foundation of China(61601213), The Project of Educational Commission of Liaoning Province of China (LJ2017QL013), Liaoning Province Doctor Startup Fund(20170520098), China Postdoctoral Science Foundation (2017M611252), The Project of Innovative Talents Support of Liaoning Province of China (LR2016045)
  • 摘要: 在复杂的室内环境中,测得的接收信号强度(RSS)值会出现不同程度的波动,导致无法准确地刻画出无线信号传播模型。为了解决这个问题,在基于Wi-Fi测距定位模型下,该文提出一种普适的粗粒度定位方法。该方法通过对测量到的RSS值进行拟合,以此获取信号的传播模型;在此基础上计算出未知节点与接入点(AP)的距离,再利用天牛须算法实现未知节点定位,通过仿真验证此传播模型的性能以及该优化算法的有效性。
  • 图  1  RSS测量值

    图  2  测试场景

    图  3  DSPM测距结果值

    图  4  式(1)测量结果值

    图  5  改变DSPM参数后得到的测量结果

    图  6  不同${\rm{step}}$取值定位误差随随机步长$l$的变化

    图  7  收敛速度

    图  8  不同AP数目的定位误差对比

    表  1  本文算法与经典算法对比

    真实位置测量位置误差(m)收敛速度
    BAS-DSPM(0, 0)(0.7123, 1.4437)1.6098迭代27次趋于平稳
    PSO-DSPM(0, 0)(1.3654, –1.8031)2.2617迭代108次趋于平稳
    PSO-经典测距模型(0, 0)(–2.0462, 3.4623)4.0217迭代98次趋于平稳
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-11-06
  • 修回日期:  2019-02-24
  • 网络出版日期:  2019-04-02
  • 刊出日期:  2019-07-01

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