Abstract
Because of the influence of obstacles, random noise, signal multipath propagation, and the moving state of moving target, the traditional indoor tracking algorithms have larger error rate in localization accuracy and path optimization. In order to solve these problems, an indoor moving target 3D-tracking algorithm based on wireless sensor networks multi-structure loss model is proposed. In the phase of loss model establishment, this paper presents a multi-structure path loss model. In the phase of localization, this paper proposes a localization algorithm based on regional division. In the phase of tracking, the centroid of the intersection space is used to replace the coordinate which has larger error, and then get on filtering. The simulation results show that the proposed algorithm has high localization accuracy in the case of complicated indoor structure and larger interference. Moreover, the degree of fitting between the tracking path and the real path is high.
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