Study of robot indoor Kalman filter positioning algorithm based on RSSI

For the difficult problem of mobile robot positioning in indoor environment, this paper puts forward the Kalman filter positioning algorithm based on RSSI. The positioning algorithm based on RSSI is utilized to forecast the location of user, which the Kalman filter is used to optimize, in order to enhance the performance and stability of indoor positioning system. Experimental results show that the Kalman filter positioning algorithm, which has the robustness, can effectively improve the locational precision of indoor positioning system, and that the prospective objective is reached.