Research On Key Technologies Of Indoor Fingerprint Positioning Based On WLAN

With the rapid development of mobile technology and the promotion of wireless communication network, the demand for location-based services is increasing. The limitations of people's special daily living habits and the deficiency of mature outdoor positioning technology facing to the indoor environment promote the research and development of indoor positioning technology. Among them, the WLAN-based indoor fingerprint positioning technology stands out from a number of wireless indoor positioning technologies due to its low cost of deployment, high positioning accuracy, a wide range of application and gradually becomes the focus of research in the field of indoor positioning technology.Meanwhile, the indoor fingerprint positioning technology based on WLAN is also used to design the wireless indoor positioning system for commercial development of solutions and integrated into people's daily lives progressively.Under the background, in this dissertation, the WLAN-based indoor fingerprint positioning technology was taken as the research object. In addition, this dissertation in-depth understands the current development status of technology and focuses on analyzing the key issues to be solved,clearing the goal which includes improving the accuracy of indoor positioning results, reducing the computation time as well as to eliminate the impact of heterogeneous equipment. The dissertation works for the key issues from the perspective of indoor fingerprint positioning algorithm and carries out the corresponding solutions. The main innovations of this dissertation are as follows:1) In this dissertation, an indoor fingerprint positioning algorithm based on space division via FCM clustering is designed by introducing the idea of partitioning-based clustering algorithm for large-scale scenes. The algorithm mainly uses the fuzzy clustering algorithm to divide the application scene into several sub regions and independently model in each sub region. When the target is positioned, it is positioned to the corresponding sub region firstly and the location information is calculated during further positioning in the sub region. Experiments show that the algorithm proposed in this dissertation can reduce the computation time and then improve the positioning efficiency, moreover, improve the accuracy of positioning results.2) In order to solve the problem of heterogeneous equipment which hinders the application of large-scale indoor positioning system, this dissertation focuses on the influencing factors of heterogeneous devices on the indoor fingerprint positioning technology. The dissertation deeply understand the calculation method of wireless signal strength for equipment acquisition and designs an indoor fingerprint localization algorithm based on normalizing received signal strength for heterogeneous devices. This algorithm introduces the idea of normalization method used in data preprocessing and normalizes the original signal strength data to eliminate the influence factors of heterogeneous devices, hereafter uses the processed data for the fingerprint positioning algorithm to locate the target. Experiments show that the algorithm proposed in this dissertation can effectively solve the issue of heterogeneous devices and contribute to the popularization and application of the indoor fingerprint positioning technology based on WLAN.