Research on Indoor Location Algorithm Based on Cluster Analysis

The positioning system based on received signal strength (RSSI) is easily affected by the environment. This paper proposes an optimization strategy of RSSI signal processing based on Gaussian mixture filter (GMF) of clustering algorithm analysis. The unknown nodes are accurately located in the room by optimizing the received signal strength and distance correction of four side centroid positioning algorithm, and the Bluetooth 4.0 beacon nodes are used for field experiments. The experimental results show that the algorithm can effectively improve the ranging accuracy and the positioning accuracy of the system, which is 34.6% higher than that of the traditional weighted centroid algorithm, and the average positioning error is less than 0.5 m, which can meet the requirements of indoor positioning accuracy.