Han Kuwon( Ph.D. candidate) students in RAMO Lab, proposed new hybrid positioning algorithm with Prof. Seong-Lyun Kim. The thesis was accepted at IEEE IoT Journal, International Internet of Things Area Journal (3rd in Computer Science Area, IF 9.936, JCR 1.60%).
This paper proposes a new hybrid positioning algorithm combining radio signal and IMU sensors. The Wi-Fi round-trip time (RTT) and the Pedestrian Dead Reckoning (PDR) technique are used to estimate the position. Various field experiments verify the proposed algorithm in line-of-sight (LOS) guaranteed and LOS / non-LOS mixed environments.