RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers

@article{Paul2009RSSIBasedIL,
  title={RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers},
  author={Anindya Sao Paul and Eric A. Wan},
  journal={IEEE Journal of Selected Topics in Signal Processing},
  year={2009},
  volume={3},
  pages={860-873}
}
  • A. S. Paul, E. Wan
  • Published 20 October 2009
  • Computer Science
  • IEEE Journal of Selected Topics in Signal Processing
Solutions for indoor tracking and localization have become more critical with recent advancement in context and location-aware technologies. [] Key Method The proposed SPKS fuses a dynamic model of human walking with a number of low-cost sensor observations to track 2-D position and velocity. Available sensors include Wi-Fi received signal strength indication (RSSI), binary infra-red (IR) motion sensors, and binary foot-switches. Wi-Fi signal strength is measured using a receiver tag developed by Ekahau, Inc…
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