Title :
Expansion RSS-based Indoor Localization Using 5G WiFi Signal
Author :
Feng Yu ; Minghua Jiang ; Jing Liang ; Xiao Qin ; Ming Hu ; Tao Peng ; Xinrong Hu
Author_Institution :
Sch. of Electron. & Electr. Eng., Wuhan Textile Univ., Wuhan, China
Abstract :
Indoor localization based on existent WiFi signal strength is becoming more and more prevalent and ubiquitous. Unfortunately, the WiFi received signal strength (RSS) is susceptible by multipath, signal attenuation and environmental changes, it is the major challenge for accurate indoor localization. In this paper, to overcome these limitations, we propose an indoor localization based on expansion RSS algorithm (ERA) to reduce the environmental interference. In addition, according to the detailed analysis of the 2.4G and 5G signal, we get that 5G WiFi signal is more stable than 2.4G, and experiment indicates the 5G signal is more accurate than 2.4G for indoor localization. Experimental results demonstrate the proposed algorithm exhibits superior performance in terms of localization accuracy and stabilization.
Keywords :
5G mobile communication; wireless LAN; 2.4G signal; 5G WiFi signal; WiFi received signal strength; environmental interference; expansion RSS-based indoor localization algorithm; Algorithm design and analysis; Fingerprint recognition; Fluctuations; IEEE 802.11 Standards; Mobile handsets; Real-time systems; Time measurement; 5G WiFi signal; expansion RSS algorithm (ERA); indoor localization; localization accuracy; localization stabilization; received signal strength (RSS);
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
DOI :
10.1109/CICN.2014.117
