A Machine Learning Approach to Ranging Error Mitigation for UWB Localization

@article{Wymeersch2012AML,
  title={A Machine Learning Approach to Ranging Error Mitigation for UWB Localization},
  author={Henk Wymeersch and Stefano Maran{\`o} and Wesley M. Gifford and Moe Z. Win},
  journal={IEEE Transactions on Communications},
  year={2012},
  volume={60},
  pages={1719-1728}
}
Location-awareness is becoming increasingly important in wireless networks. Indoor localization can be enabled through wideband or ultra-wide bandwidth (UWB) transmission, due to its fine delay resolution and obstacle-penetration capabilities. A major hurdle is the presence of obstacles that block the line-of-sight (LOS) path between devices, affecting ranging performance and, in turn, localization accuracy. Many techniques have been proposed to address this issue, most of which make… CONTINUE READING
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