The Research of Wi-Fi Indoor Positioning Algorithm based on Position Fingerprint
Yujie Liu, Meng Wu
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.522How to use a DOI?
- Position fingerprint, Indoor positioning, Kalman filter, Probability weighted, Naive Bayes algorithm.
- To improve the positioning accuracy and robustness of indoor positioning technology, a fingerprint positioning method is proposed based on the Kalman filter and the probability weighted Bayes algorithm. Firstly, the optimal estimation of signal strength is calculated using the prediction and correction model of Kalman filter, and then the position is estimated using the posterior probability weighted Naive Bayes algorithm. The experimental results show that the algorithm based on Kalman filter and the probability weighted Bayes gains pretty good positioning accuracy and robustness.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yujie Liu AU - Meng Wu PY - 2015/12 DA - 2015/12 TI - The Research of Wi-Fi Indoor Positioning Algorithm based on Position Fingerprint BT - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015 PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmcce-15.2015.522 DO - https://doi.org/10.2991/icmmcce-15.2015.522 ID - Liu2015/12 ER -