Indoor Localization with Adaptive Channel Model Estimation in WiFi Networks

  • Yung-Fa HuangEmail author
  • Yi-Hsiang Hsu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 513)


This paper investigates the indoor localization based on channel estimation with the received signal strength (RSS) of three access points (APs) in Wi-Fi networks. In this paper, the proposed adaptive channel estimation for the path loss exponent (PLE) is based on the root mean square error (RMSE) of RSS of the APs. The PLE effects are investigated and then an adaptive PLE estimation is proposed to improve the indoor localization. Experimental results show that the proposed adaptive modeling of PLEs can effectively decrease the localization error.


Indoor localization Received signal strength Path loss exponent Root mean square error 



This work was funded in part by Ministry of Science and Technology of Taiwan under Grant MOST 106-2221-E-324-020.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Information and Communication EngineeringChaoyang University of TechnologyTaichungTaiwan

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