The Research Of Mine Personnel Positioning Algorithm Based On RSSI

With the rapid development of wireless sensor networks, wireless location technology has been widely applied in the field of mine safety. Accurate and efficient positioning system is the guarantee of safe production. Based on 3D space ranging coal mine personnel positioning, the accuracy is low, the cost is high and the results easy to be disturbed by the outside environment. In order to solve the above problems, a hybrid filtering algorithm, the least squares fitting algorithm and the algorithm for reducing the space complexity of the multi heavy heart localization algorithm are proposed to improve the positioning accuracy 3D space, and proved by experiments in this study the performance of the algorithm proposed.Firstly, the research status of the mine personnel positioning algorithm is analyzed,and summarizes the main problems of underground positioning work. Secondly, the basic technology of wireless sensor network positioning is introduced. Through analyzing the performance of each technology, the RSSI technology is suitable for the underground personnel positioning. Then, the filtering of the RSSI, the establishment of the ranging model and the improvement of the positioning algorithm are studied. A hybrid filtering algorithm based on Gauss filter and Kalman filter is put forward. Based on the theoretical model of the traditional signal transmission, the distance measurement model is reconstructed by the least square method to optimize the parameters of the environment.The Positioning algorithm uses the method of reducing the space complexity. The core idea is to use the special distribution structure of beacon nodes to transform the 3D space positioning problem into 2D space positioning, and then use the multi heavy heart algorithm to get the space coordinates of unknown nodes. Finally, the algorithm is verified by the location experiment, which proves that the algorithm can meet the requirements of most underground space personnel.