Fast and resource efficient method for indoor localization based on fingerprint with varied scales

被引：0
|
作者：
Le Y. [1 ]
Tang Z. [1 ]
Sheng C. [1 ]
Shi W. [1 ]
机构：
[1] School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai
来源：
Tongxin Xuebao/Journal on Communications | 2019年 / 40卷 / 01期
关键词：
Fingerprint; Indoor localization; PCA; RSS; WSN;
D O I：
10.11959/j.issn.1000-436x.2019001
中图分类号：
学科分类号：
摘要：
To improve the prediction speed in indoor localization, a novel algorithm based on fingerprint with varied scales was proposed. It divided the region of interest into distinct zones with distinctive coverage indicators, and reference positions with different distribution density were set in the region. According the time relevance and strength vary of the RSS from the anchors, the grids-matching process was greatly sped up for the usage of coverage indictors and the features of the location fingerprint extracted with the PCA, which made the proposed method fit the demand of application with limited power and memory. Experimental results indicate that accuracy of the positioning is ensured with the reduced energy-consuming, and more flexible about the number of anchors and the grid distribution. © 2019, Editorial Board of Journal on Communications. All right reserved.
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收藏
页码：172 / 179
页数：7
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