The Research of Wi-Fi Indoor Positioning Algorithm based on Position Fingerprint
نویسندگان
چکیده
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.
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