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《Journal of Computer Applications》 2015-09
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Indoor positioning algorithm with dynamic environment attenuation based on particle filtering

LI Yinuo;XIAO Ruliang;NI Youcong;SU Xiaomin;DU Xin;CAI Shengzhen;Faculty of Software, Fujian Normal University;Fujian Provincial University Engineering Research Center of Big Data Analysis and Application;  
Due to the problem that the nodes having the same distance but different position in the complex environment,brings shortage to accuracy and stability of indoor positioning, a new indoor positioning algorithm with Dynamic Environment Attenuation Factor( DEAF) was proposed. This algorithm built a DEAF model and redefined the way to assume the value. In this algorithm, particle filtering method was firstly used to smooth the Received Signal Strength Indication( RSSI); then, the DEAF model was used to calculate the estimation distance of the node; finally, the trilateration was used to get the position of the target node. Comparative experiments had been done using several filtering models, and the results show that this dynamic environment attenuation factor model combined with particle filtering can resolve the problem of the environment difference very well. This algorithm reduces the mean error to about 0. 68 m, and the result has higher positioning accuracy and good stability.
【Fund】: 教育部规划基金资助项目(11YJA860028);; 福建省科技计划重大项目(2011H6006)
【CateGory Index】: TP212.9;TN929.5
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