A Novel CSI-Based Ranging Model for Indoor Localization using Kalman Filter

Jing Jing Wang, Jun Gyu Hwang, and Joon Goo Park

Abstract:	With the increasing demand of location-based services, indoor ranging method based on Received Signal Strength Indicator (RSSI) or Channel State Information (CSI) has become an increasingly important technique due to its low hardware requirement and high accuracy. Due to robustness against the multipath effect, frequency domain Channel State Information (CSI) of Orthogonal Frequency Division Multiplexing (OFDM) systems is supposed to provide an excellent ranging measurement for indoor localization. In this paper, we propose a novel signal attenuation model for indoor ranging based on the Kalman filter. The proposed attenuation model scheme is implemented and validated with experiments in a typical indoor environment. Experimental results are presented to confirm that the proposed model can effectively reduce ranging error, compared with existing methods in a typical indoor environment.
Published in:	Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019) September 16 - 20, 2019 Hyatt Regency Miami Miami, Florida
Pages:	348 - 354
Cite this article:	Wang, Jing Jing, Hwang, Jun Gyu, Park, Joon Goo, "A Novel CSI-Based Ranging Model for Indoor Localization using Kalman Filter," Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019), Miami, Florida, September 2019, pp. 348-354. https://doi.org/10.33012/2019.17032
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