NLOS mitigation with biased Kalman filters for range estimation in UWB systems

@article{Wann2007NLOSMW,
  title={NLOS mitigation with biased Kalman filters for range estimation in UWB systems},
  author={Chin-Der Wann and Chih-Sheng Hsueh},
  journal={TENCON 2007 - 2007 IEEE Region 10 Conference},
  year={2007},
  pages={1-4}
}
In this paper, a non-line of sight (NLOS) error identification and mitigation technique utilizing modified biased Kalman filter in ultra-wideband (UWB) systems is proposed. NLOS error is considered one of the major error sources in range estimation and wireless location systems. To improve time-based location accuracy in UWB location systems, an NLOS identification and mitigation technique is derived. Kalman filters (KFs) are used for smoothing range data and mitigating the NLOS errors. We… CONTINUE READING
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The nonLine of sight problem in mobile location estimation

  • J. Holtzmann
  • IEEE International Conference on Universal…
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