| In this paper, "large-scale transport hub intelligent travel applied research and demonstration" project as the background, the project aims to build navigation systems and services within large transportation hubs and other indoor public places, according to the traffic flow and the environment within the distribution hub provides hub within the user intelligent guide line more convenient service. However, indoor public places and other transportation hubs GPS signal is weak, unable to provide accurate location information to the user, which can not provide positioning location-based navigation services for users. Therefore, this project needs major background design indoor pedestrian guidance system demonstration, and indoor location algorithm research。Based on the background of the project requirements, according to the basic network communications services architecture model designed indoor pedestrian guidance system demonstration. The system can provide users with online real-time location-based services and navigation services, while the system supports a variety of indoor positioning algorithms and navigation algorithms dynamically expanding, providing a platform for research and testing experimental study follow-up indoor positioning algorithm and indoor navigation algorithm.Based on the research of indoor positioning algorithms, combined with the needs of the project background, the design of the matching fingerprint localization algorithm based on packet-weighted sequence groups. The positioning algorithm is mainly to improve the matching mode Wi-Fi-based location fingerprint database of how and where to build a fingerprint database. When building location fingerprint database, instead of the traditional location of the fingerprint sequence fingerprint sequence groups to ensure that the diversity of positions fingerprint repository; when matching using the least squares method for solving feedback through actual test weight for each packet weighing factor, improve algorithm ability to adapt to the current environment. Finally, the localization algorithm to join the demonstration indoor pedestrian guidance system and locate the actual scene by positioning experiments and data analysis, comparison AP end WLAN localization algorithm based on the algorithm of positioning accuracy and immediacy have good positioning performance.This article contains the current indoor location algorithm design packet-based indoor positioning weighted matching algorithm for fingerprint sequence groups, can only be achieved within a small area indoor positioning range, can not meet the large-area real-life major transportation hub, shopping malls and other indoor places within Location. Therefore, this article is designed subregional grouping weighted matching positioning algorithm by positioning a large area is divided into a plurality of sub-areas, during positioning, first through regional location algorithm to determine user location point where the sub-region, the within the sub-region, positioned within the sub-region through a packet-based localization algorithm weighted matching fingerprint sequence group is completed. By locating the actual environment simulation subregional grouping weighted matching localization algorithm scene, the performance of the algorithm and packet-based localization algorithm weighted performance fingerprint same sequence group. |
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