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Citation: Zengshan TIAN, Yang WANG, Mu ZHOU, Ping WEI. Adaptive Fading Memory Based Bluetooth Sequence Matching Localization Algorithm[J]. Journal of Electronics and Information Technology, ;2019, 41(6): 1381-1388. doi: 10.11999/JEIT180637 shu

Adaptive Fading Memory Based Bluetooth Sequence Matching Localization Algorithm

  • Corresponding author: Yang WANG, 1107919267@qq.com
  • Received Date: 2018-07-02
    Accepted Date: 2019-01-12
    Available Online: 2019-06-01

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  • The traditional fingerprinting localization algorithm has high construct time overhead and low positioning accuracy. Because of this problem, an adaptive fading memory based bluetooth sequence matching localization algorithm is proposed. Firsly, Pedestrian Dead Reckoning(PDR) and Nearest Neighbor Algorithm(NNA) are applied to performing position calibration and Received Signal Strength(RSS) mapping of Motion Sequences. Secoudly, according to the relevance of neighboring locations, a sequence recursive search method is used to construct fingerprint sequence database. Finally, an adaptive fading memory algorithm and initial sequence matching degree are considered to realize the position estimation of target. The experimental results show that this algorithm is able to consume low construct time overhead and achieve high indoor localization precision.
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