Study on Improved Algorithm of RSSI Correction and Location in Mine-well Based on Bluetooth Positioning Information

Abstract

In order to overcome positioning accuracy being lower of Bluetooth caused by the uncertainty and other interference factors under the mine well environment, the paper proposed an improved RSSI correction location algorithm based on Bluetooth positioning information. The algorithm firstly carried on the data pre-filtering based on secondary filter to reduce the gross error and interference of RSSI sampled data, secondly built a piecewise path loss model based on sliding window by means of logarithmic path loss model to fit the relationship between distance and RSSI better, and finally integrated Bluetooth positioning information into the improved fine weight three-circle positioning to estimate the unknown node location accurately. Taking the corridor-type mine well environment as an example, the experimental data verified that the method could effectively reduce the ranging error, and the highest positioning accuracy could reach to 0.11 meter, and compared with the general weighted triangular centroid positioning method, its average error could reduce about 27%. The study results show that the proposed improvement method in this paper is reasonable and feasible.