| In recent years, along with the exploding development of wireless technology and intelligent terminal, the Location Based Service(LBS) gradually enter the users’ vision. The existing indoor localization systems can be divided into two categories: radio frequency signal ranging methods and non-ranging fingerprints matching methods. However, these methods can not be widely deployed due to the indoor multipath and time-varying signal, but other than that they are all dependent on the indoor plans, which seriously constrains the scalability and degrades the robustness. To address these problems, this paper proposes a trajectory correction method without any prior knowledge, and relizes the reconstruction of indoor map based on the landmarks and users’ trajectories. The main contents of this paper are as follows.Firstly, we conclude the common sensors embedded in smart mobile terminals, and make a brief description of their functions. In addition,we include the advanced indoor localization methods and analyze their defects.Secondly, by collecting and analyzing the sensors data and the Receive Signal Strength(RSS), we propose a method to synchronously identificate the static and dynamic landmarks, which can accurately detect the encounter between the users and the landmarks, and laid the foundation for for the trajectories fusion.Thirdly, we put forward the building indoor map method based on the multi-user coordinative self correction and combination. Furthermore, we exploit the Spring algorithm to calibrate the users’ trajectories mutually, which greatly improve the accuracy of the indoor map reconstruction.Finally, we design a complete simulation experiment and collect sensor data by a variety of smart phones to verify the feasibility of this method by using MATLAB to analyze. By comparing the analysis errors and the existing methods, it is proved that the dynamic landmarks can improve the precision of the indoor map reconstruction. |
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