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A number of indoor positioning systems based on WiFi fingerprinting were reported thanks to advantages of this method,such as low cost and extensive availability.The Bayesian fingerprinting method needs learn the radio map of probability distribution of WiFi signal strengths over the space of interest through a training phase.Traditionally,the histogram method was used for calculating probability distribution,and it required an adequate number of WiFi samples,which caused a long time taken in the training phase.