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计算机工程

• 移动互联与通信技术 • 上一篇    下一篇

引入RSSI 指纹抖动量的室内定位改进算法

邓 遂,邓瀚林,潘 强,刘海涛   

  1. (无锡物联网产业研究院,江苏无锡214213)
  • 收稿日期:2014-01-21 出版日期:2015-02-15 发布日期:2015-02-13
  • 作者简介:邓 遂(1985 - ),男,博士,主研方向:无线传感器网络,信号处理;邓瀚林、潘 强,博士;刘海涛,研究员、博士生导师。
  • 基金资助:
    江苏省自然科学基金资助项目(BK2011035);江苏省省级现代服务业(软件产业) 发展专项引导基金资助重点项目(CYE11C1116)。

Improved Indoor Localization Algorithm of Introducing RSSI Fingerprints Jittering

DENG Sui,DENG Hanlin,PAN Qiang,LIU Haitao   

  1. (Wuxi SensingNet Industrialization Research Institute,Wuxi 214213,China)
  • Received:2014-01-21 Online:2015-02-15 Published:2015-02-13

摘要: 为提高接收信号强度指示(RSSI)指纹进行室内定位的准确性,提出一种利用RSSI 指纹抖动量的虚拟标签定位改进算法。给出RSSI 指纹抖动量计算方法,将其应用于待定位标签与参考标签的距离以及虚拟标签RSSI指纹的计算。在实际测试中,将RSSI 指纹抖动量用于虚拟标签定位算法射频指纹(RFFP)的改进。测试结果表明,与RFFP 算法和LANDMARC 算法相比,改进算法的平均定位精度分别提高约0. 35 m ~ 0. 88 m 和 0. 38 m ~0. 94 m,算法耗时仅分别增加约1% 和12% 。

关键词: 室内定位, 无线射频识别, 接收信号强度指示, 指纹, 虚拟标签, 无线传感器网络

Abstract: In order to improve the accuracy of indoor localization using Received Signal Strength Indicator (RSSI) fingerprints,a new method of introducing the jittering of RSSI fingerprints is proposed,which defines the calculating method of the RSSI fingerprints jittering,and applies it to measure the distance between the reference tags and tags that are being tracked,and computes the RSSI fingerprints of the virtual tags. Test results show that the average localization accuracy is about 0. 35 m ~ 0. 88 m higher by the improved algorithm than RFFP,and 0. 38 m ~ 0. 94 m higher than LANDMARC while the time-consuming increases by only 1% and 12% respectively.

Key words: indoor localization, Radio Frequency Identification(RFID), Received Signal Strength Indicator (RSSI), fingerprint, virtual tag, Wireless Sensor Network(WSN)

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