Research on TDOA underground personnel location algorithm based on Chan-PF
Due to the complex situation underground in coal mines,the accuracy of personnel positioning decreases significantly in the NLOS environment,and even the obtained data cannot be used.To address this issue,a Chan-PF fusion positioning algorithm is proposed.Firstly,the Chan algorithm is used to process the measured values of time difference of arrival(TDOA)to obtain the optimal solution.Then,particle filtering is used to process the optimal solution again,and the final center position of the resampled particles is the exact position of the target node.The simulation results show that this algorithm can effectively resist interference in the NLOS environment of coal mines underground,improve positioning accuracy,and obtain more accurate positioning coordinates.
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