Indoor Fingerprinting With Bimodal CSI Tensors: A Deep Residual Sharing Learning Approach Article

Wang, Xiangyu, Wang, Xuyu, Mao, Shiwen. (2021). Indoor Fingerprinting With Bimodal CSI Tensors: A Deep Residual Sharing Learning Approach . IEEE INTERNET OF THINGS JOURNAL, 8(6), 4498-4513. 10.1109/JIOT.2020.3026608

Open Access

cited authors

  • Wang, Xiangyu; Wang, Xuyu; Mao, Shiwen

sustainable development goals

authors

publication date

  • March 15, 2021

published in

keywords

  • CONVOLUTIONAL NEURAL-NETWORKS
  • Channel state information (CSI)
  • Computer Science
  • Computer Science, Information Systems
  • Engineering
  • Engineering, Electrical & Electronic
  • Estimation
  • Indoor environments
  • Internet of Things
  • LOCALIZATION
  • Machine learning
  • Science & Technology
  • Technology
  • Telecommunications
  • Tensile stress
  • Training
  • Wireless fidelity
  • deep learning
  • deep residual learning
  • deep residual sharing learning
  • fingerprinting

Digital Object Identifier (DOI)

publisher

  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

start page

  • 4498

end page

  • 4513

volume

  • 8

issue

  • 6