Comparison of three Kalman filters for an indoor passive tracking system

@article{Shen2007ComparisonOT,
  title={Comparison of three Kalman filters for an indoor passive tracking system},
  author={Shuo Shen and Chen Xia and Robert S. Sprick and L. C. Perez and Steve Goddard},
  journal={2007 IEEE International Conference on Electro/Information Technology},
  year={2007},
  pages={284-289}
}
Wireless sensor networks can be used for the localization and tracking of moving targets. However, the range measurements are noisy and Kalman filters are frequently used to improve the tracking accuracy. Three different tracking algorithms, namely, a standard Kalman filter (SKF), an extended Kalman filter (EKF), and a modified Kalman filter (MKF) are empirically studied in terms of accuracy and latency for a range-based indoor tracking system. The experimental results show that the filtering… CONTINUE READING