A dynamic K-nearest neighbor method based on strong access point credibility for indoor positioning
Regular Papers|Updated:2025-07-02
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A dynamic K-nearest neighbor method based on strong access point credibility for indoor positioning
Enhanced Publication
基于强接入点可信度的动态K近邻室内定位方法
“In the field of high-precision indoor positioning, a novel approach called SAPC-DKNN has been proposed. Expert xx established the SAPC-DKNN system, which leverages prior knowledge of RSS path loss and employs the RSS fluctuation area to quantify the significance of different APs. This provides solutions to solve the problem of environmental interference in traditional fingerprint indoor positioning.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 6, Pages: 959-977(2025)
Affiliations:
1.Research Institute, Chengdu Techman Software Co., Ltd., Chengdu 610100, China
2.College of Computer Science, Sichuan University, Chengdu 610044, China
Yuting YANG, Tao ZHANG, Wu HUANGz. A dynamic K-nearest neighbor method based on strong access point credibility for indoor positioning[J]. Frontiers of information technology & electronic engineering, 2025, 26(6): 959-977.
DOI:
Yuting YANG, Tao ZHANG, Wu HUANGz. A dynamic K-nearest neighbor method based on strong access point credibility for indoor positioning[J]. Frontiers of information technology & electronic engineering, 2025, 26(6): 959-977. DOI: 10.1631/FITEE.2400366.
A dynamic K-nearest neighbor method based on strong access point credibility for indoor positioningEnhanced Publication