Research on Zigbee Indoor Position Algorithm Based on Particle Filter

摘要

In an indoor environment, such outdoor positioning technology as GPS may have the phenomena of weak signal strength and poor availability due to construction blocking. As a result, the application of Zigbee wireless sensor network becomes a hotspot of the indoor position research at present. Specifically, the received signal strength of the nodes in Zigbee network can be used for providing location-based service, and then the fingerprint database position algorithm can be used for estimating user location on the basis of the experimental environment analysis. In order to improve position accuracy, the particle filter technology is combined with the fingerprint database position algorithm for improving the performance of the position system. The experiment shows that the optimized position algorithm can not only control the mean position error within 1.61m to improve the position accuracy, but also has simple operation and great feasibility.