A Dynamic Adaptive Indoor Ranging Model Based on RSSI

被引：0

作者：

Li, Hengfei ^{[1
]}

Huang, Zuhui ^{[2
]}

Sun, Haixin ^{[2
]}

Wang, Xiaozhong ^{[1
]}

Qi, Jie ^{[1
]}

机构：

[1] Sch Elect Sci & Technol, Dept Elect Engn, Xiamen 361005, Peoples R China

[2] Sch Informat Sci & Technol, Dept Commun Engn, Xiamen 361005, Peoples R China

来源：

PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年

关键词：

WiFi; received signal strength indicator (RSSI); Ranging; LOCALIZATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Range estimation based on received signal strength indicator (RSSI) is widely applied in indoor localization. However, the performance of the conventional RSSI based on ranging model degrades significantly when it is applied to a dynamic indoor environment due to the measuring noise, multipath effect and shadow effect. Therefore, an Unproved RSSI based on ranging model for the dynamic indoor environment is proposed by the slope approximation method (SAM). In the proposed ranging model, we analysis and extract the characteristics of the widely existing WiFi signal in indoor environment. Then, we create a slope database to match the real-time RSSI. and calculate the distance in on-line stage. Experimental results show that the proposed method has better effect than the conventional RSSI based on ranging estimation methods for the dynamic indoor environment.

引用

页码：2850 / 2855

页数：6

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