Research on Ultra-wideband Location of Mine Based on Clustering and TDOA

Abstract

To further improve the accuracy of underground positioning, a method of underground Ultra-Wide Band positioning based on clustering and TDOA is proposed. First, the TDOA method is used to measure, Chan algorithm is selected to solve, then the iterative solution is brought into the Taylor algorithm to establish the data collection in the iteration process, and remove the large error iteration values. Then, the data collection is aggregated through the K-means algorithm. Class iteration, filtering data processing and final accurate location coordinates.The non convergence problem caused by inaccurate initial value selection of Taylor algorithm can be well solved. Through simulation experiments, the performance of this algorithm is compared with Chan algorithm and Chan Taylor algorithm. The test results of this algorithm have higher accuracy and better stability, although positioning takes longer, the overall performance is obtained. Upgrading can cope with complex underground environment and achieve accurate positioning.