I-WKNN: Fast-Speed and High-Accuracy WIFI Positioning for Intelligent
Stadiums
- URL: http://arxiv.org/abs/2112.02058v1
- Date: Fri, 3 Dec 2021 18:17:49 GMT
- Title: I-WKNN: Fast-Speed and High-Accuracy WIFI Positioning for Intelligent
Stadiums
- Authors: Zhangzhi Zhao, Zhengying Lou, Ruibo Wang, Qingyao Li and Xing Xu
- Abstract summary: This paper introduces the application of the positioning algorithm in the intelligent stadium system.
The I-WKNN algorithm has advantages in fingerprint positioning database processing, environmental noise adaptability, real-time positioning accuracy and positioning speed.
- Score: 11.042320249494034
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Based on various existing wireless fingerprint location algorithms in
intelligent sports venues, a high-precision and fast indoor location algorithm
improved weighted k-nearest neighbor (I-WKNN) is proposed. In order to meet the
complex environment of sports venues and the demand of high-speed sampling,
this paper proposes an AP selection algorithm for offline and online stages.
Based on the characteristics of the signal intensity distribution in
intelligent venues, an asymmetric Gaussian filter algorithm is proposed. This
paper introduces the application of the positioning algorithm in the
intelligent stadium system, and completes the data acquisition and real-time
positioning of the stadium. Compared with traditional WKNN and KNN algorithms,
the I-WKNN algorithm has advantages in fingerprint positioning database
processing, environmental noise adaptability, real-time positioning accuracy
and positioning speed, etc. The experimental results show that the I-WKNN
algorithm has obvious advantages in positioning accuracy and positioning time
in a complex noise environment and has obvious application potential in a smart
stadium.
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