The Algorithm Research And Implementation Of The Map Matching Combined With IMU And Indoor Map Model In Indoor Positioning

In this dissertation,the design and implementation of map matching algorithm was studied seriously the indoor positioning.Currently,the research on indoor positioning has become a hot spot,but there are still some problems in indoor positioning researching.The wireless localization signal is easily interfered in signal propagation process,leading to large positioning error.The Indoor environment,wireless positioning signals can not be fully covered,and there will be a signal blind area,resulting in the discontinuous positioning results.In this paper,to solve these problems existed,the indoor map matching algorithm combined with geographic information model and IMU and is proposed.The main work and achievements of this dissertation are as follows:Firstly,the indoor map geographic information was extracted and a common geographic information interface faced on indoor positioning was developed.The building interior geometry map model faced on indoor positioning and navigation was build.Secondly,the personnel movement state,wireless positioning and IMU information was combined under the particle filter overall framework,the weights of particles are identified with the geographic information constraints,direction and distance,and the optimal positioning point was predicted.Experiments show that the algorithm can effectively further constraint the indoor positioning results,improving the indoor positioning accuracy and user experience degree.Finally,the MVC software design idea was used to validate the algorithm based on Android platform,and the core algorithm was placed on the model layer.