基于AP加权的自适应动态室内定位方法.pdf

第10卷 第2期 导航定位学报 ，No. 2
2022 年 4 月 Journalearch Center of Mining Area Environmental And Disaster Cooperative Monitoring,
Anhui University of Science and Technology, Huainan, Anhui 232001, China)

Abstract：In view of the redundant information of different Access Points (AP) in traditional location algorithm, and the
time-effective error of location in the large location range, an AP weighted adaptive dynamic location algorithm based on the
square distance is proposed. In fingerprint matching stage, the chi square distance is used to replace the European distance in the
traditional Weighted K-Nearest Neighborhood (WKNN) algorithm, and the AP variance is weighted to the similarity, so as to
adjust the distance threshold adaptively, and dynamic K value is introduced to extract the database information accurately. The
experimental results show that the algorithm is more advantageous to remove redundant AP, reduce the range of positioning error
and improve the positioning accuracy and stability.
Keywords: indoor location; adaptive weighted K-nearest neighbor; fingerprint matching; positioning accuracy

米级，但在大型建筑中进行室内定位，其精度仍
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