CLRS: A Novel CSI-Based Indoor Localization Approach by Region Sectioning
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.
National Key Research and Development Program of China[2020YFB2104301];
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Indoor positioning systems ; Wireless local area networks (WLAN)
Cited Times [WOS]:0
|Document Type||Conference paper|
|Department||Southern University of Science and Technology|
1.Dalian University of Technology,China
2.Inner Mongolia 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.
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