Implementation of indoor fingerprint positioning based on ZigBee

Human's demand for location-based services is more and more strong, and getting the location of the indoor service object is the core problem. ZigBee technology has the characteristics of low power consumption, small throughput and so on. This paper studies the indoor fingerprint identification positioning method based on ZigBee, the process is mainly divided into two phases: the first phase is to establish a fingerprint database, the second is real-time positioning phases. In phase one, RSSI data was collected point by point in the positioning area, then filtered the data and stored them to form the fingerprint database. In the positioning stage, experiment was carried out by using nearest neighbor method, weighted K neighbor method, and the specific area weighted K neighbor method, respectively. In the end, online tracking process in the simulated indoor environment was completed by using the map matching method combined with fingerprint identification positioning method.