文章基本信息

标题：A KEY POINT ALGORITHM IMPROVING INDOOR POSITIONING ACCURACY BASED ON BEACONS
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作者：QIANFENG LIN ; JOOYOUNG SON
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：17
页码：3438-3448
出版社：Journal of Theoretical and Applied
摘要：The indoor positioning technology in this paper identifies real-time positions of the crew in ships. It can be used to get the regional personnel distribution and find timely locations of accidents. Therefore, the accuracy is very important when estimating positions in ships. This research considers the nearest reference point and beacon in ships as key points for improving the accuracy. We look for three key points to predict a user position. Firstly, KNN algorithm is used to get the first point P1. Secondly, the nearest reference point to the nearest beacon is the second point P2. Finally, the weighted centroid point of nearest beacons is the third point P3. The centroid position of these three key points is the predicted user position. Experimental results show the accuracy has been improved by at most 54%.
关键词：Indoor Positioning;Key Point;Reference Point;In-ship Position;Crew Safety