Target Tracking Using Machine Learning and Kalman Filter in Wireless Sensor Networks

@article{Mahfouz2014TargetTU,
  title={Target Tracking Using Machine Learning and Kalman Filter in Wireless Sensor Networks},
  author={Sandy Mahfouz and Farah Mourad-Chehade and Paul Honeine and Joumana Farah and Hichem Snoussi},
  journal={IEEE Sensors Journal},
  year={2014},
  volume={14},
  pages={3715-3725}
}
This paper describes an original method for target tracking in wireless sensor networks. The proposed method combines machine learning with a Kalman filter to estimate instantaneous positions of a moving target. The target's accelerations, along with information from the network, are used to obtain an accurate estimation of its position. To this end, radio-fingerprints of received signal strength indicators (RSSIs) are first collected over the surveillance area. The obtained database is then… CONTINUE READING
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