Efficient Fingerprint-Map Generating Method for IEEE 802.11 Indoor Positioning Using SRGAN

Hwang Jun Gyu, Cui Shuyu, Lee Chang-ho, Park Joon Goo

Peer Reviewed

Abstract: Although LBS(Location Based Service) is provided in various ways, higher positioning performance is required in a complex environment. Therefore, research on various positioning techniques is being conducted. This paper proposes an indoor positioning technique using Super Resolution Generative Adversarial Networks (SRGAN). We make image based RSSI(Received Signal Strength Indicator) and AP(Access Point) information for SRGAN. And then learning was executed to induce more accurate positioning performance. Through this, efficient indoor positioning can be performed by generating a Fingerprint-Map even with insufficient sample data.
Published in: Proceedings of the 2023 International Technical Meeting of The Institute of Navigation
January 24 - 26, 2023
Hyatt Regency Long Beach
Long Beach, California
Pages: 77 - 81
Cite this article: Gyu, Hwang Jun, Shuyu, Cui, Chang-ho, Lee, Goo, Park Joon, "Efficient Fingerprint-Map Generating Method for IEEE 802.11 Indoor Positioning Using SRGAN," Proceedings of the 2023 International Technical Meeting of The Institute of Navigation, Long Beach, California, January 2023, pp. 77-81. https://doi.org/10.33012/2023.18592
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