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Multipath-based probabilistic fingerprinting method for indoor positioning

  • Jiahui Li
  • , Yan Zhang
  • , Fengyu Luan
  • , Xueru Li
  • , Lai Zhou
  • , Shidong Zhou*
  • *此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

The space-alternating generalized expectation-maximization (SAGE) algorithm provides efficient, accurate indoor channel multipath estimation. This paper describes a multipath-based probabilistic fingerprinting method for indoor positioning that utilizes the channel multipath parameters obtained by the SAGE algorithm as fingerprinting data to achieve better positioning accuracy and robustness. Tests of measurements in a typical indoor environment show that this method is more accurate than traditional indoor positioning methods.

源语言英语
页(从-至)514-519 and 525
期刊Qinghua Daxue Xuebao/Journal of Tsinghua University
55
5
出版状态已出版 - 1 5月 2015

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