基于Radio Map动态校正的井下定位系统研究

In this paper，to grasp the position information of trapped underground, underground localization technology has become a hot issue. This paper proposes system design and related algorithms of locating staff positions in complex environment by using the Radio Map. Specific programs include power fingerprint computing，RSS analysis of AP based on Bayesian regression algorithm，Construction of online Radio Map，online dynamic correction of Radio Map and other process. Experiment results show that the proposed algorithm can achieve accurate targeting in the multi-target case, localization accuracy and stability are greatly improved compared with existing methods, at the same time complexity of the algorithm can meet the requirements of underground localization real-time applications.