Sasmote: a self-attention oversampling method for imbalanced csi fingerprints in indoor positioning systems

HIGHLIGHTS

  • who: Ankang Liu et al. from the School of Physics and Electronic Information Engineering, Henan Polytechnic University have published the research: SASMOTE: A Self-Attention Oversampling Method for Imbalanced CSI Fingerprints in Indoor Positioning Systems, in the Journal: Sensors 2022, 22, 5677. of /2022/
  • what: To address the above issue the authors propose deep learning-based oversampling method called Synthetic Minority Oversampling Technique (SASMOTE) for complementing the fingerprint database to improve localization accuracy. In the framework, the authors design a self-attention encoder-decoder to extract and integrate data features. The authors propose a novel . . .

     

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