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An Indoor Precise Positioning Algorithm Using 60GHz Millimeter-Wave Based on the Optimal Path Search

Millimeter-wave (mmWave) is a key technology in 5G, and the unlicensed spectrum of 60 GHz band makes many data-intensive applications viable. There is a need for more accurate localization technique of target device in the wireless networks. The paper proposes a precise 60GHz pulse indoor positioning algorithm based on the optimal path search. The algorithm uses the layered strategy of the optimal path and selects the best node for each layer to constitute the optimal path by using the Dice coefficient matching criteria. The corresponding position of the bottom layer's leaf node in the optimal path is the positioning result of the target node (TN). What's more, in the algorithm, the positioning is operated repeatedly and the leaf node with the highest probability is selected as the positioning result ultimately. The theoretical analysis and simulation results demonstrate that the proposed algorithm increases the indoor positioning accuracy in Non-Line of Sight (NLOS) environment and centimeter level positioning accuracy can be reached.