CLRS: A Novel CSI-Based Indoor Localization Approach by Region Sectioning

Sun，Honglei1; Wang，Lei1; Zhu，Chunsheng4,5; Liu，Jingbin2; Qian，Chen3; Ding，Ning1; Lu，Bingxian1; Qin，Zhenquan1; Han，Xin1; Fei，Ziyu1

10.1109/IWCMC51323.2021.9498582

2021

2021 International Wireless Communications and Mobile Computing, IWCMC 2021

692-697

Wi-Fi-based indoor localization gained a lot of attention over recent years due to low cost and open access properties. However, existing schemes might not be applicable in the real environment if their robustness is low. This paper presents CLRS, a novel distributed Indoor Positioning System (IPS) with high robustness which uses Wi-Fi signals to divide the space twice based on Angle of Arrival (AoA) and Effective Channel State Information (ECSI). The proposed scheme trade the redundancy of Access Point (AP) quantity to improve the tolerance of data measurement error. We performed simulations as well as real-world experiments, in which simulation results proved that the theoretical average error is the least when the routers are placed vertically in our localization method while the real-world experiments proved the high accuracy and robustness of CLRS.

Channel state information Indoor localization

Others

English

CPCI-S ; EI

National Key Research and Development Program of China[2020YFB2104301];

WOS:000707024100124

20221011750013

Indoor positioning systems ; Wireless local area networks (WLAN)

2-s2.0-85125661460

Scopus

1.Dalian University of Technology,China
2.Inner Mongolia University,China
3.Tsinghua University,China
4.Southern University of Science and Technology,China
5.Peng Cheng Laboratory,China

Sun，Honglei,Wang，Lei,Zhu，Chunsheng,et al. CLRS: A Novel CSI-Based Indoor Localization Approach by Region Sectioning[C],2021:692-697.