BLADE: A Universal, Blind Learning Algorithm for ToA Localization in NLOS Channels

  title={BLADE: A Universal, Blind Learning Algorithm for ToA Localization in NLOS Channels},
  author={Fernando P{\'e}rez-Cruz and Chih-Kuang Lin and Howard Huang},
  journal={2016 IEEE Globecom Workshops (GC Wkshps)},
We study wireless localization systems where multiple synchronized infrastructure devices simultaneously transmit signals whose arrival times are measured at an object of interest. The performance of these time-of-arrival (ToA) localization systems is degraded in non-line-of-sight (NLOS) channels because multipath reflections cause a positive bias in the ToA measurements. To address this major impairment, we propose an algorithm that adaptively learns the probability distribution function of… CONTINUE READING


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