A Novel Fingerprinting Method of WiFi Indoor Positioning Based on Weibull Signal Model

来源 :第九届中国卫星导航学术年会 | 被引量 : 0次 | 上传用户:jiangyoung
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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.
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