Investigation on Indoor Positioning by Improved RTT-RSS Fusion Ranging Method

초록

With the development of wireless sensor network (WSN) technology, WSN based indoor localization technology has received more and more attention. Wi-Fi based ranging methods has become a current research hotspot in the field of localization due to their low cost and low complexity. However, the use of Wi-Fi based ranging methods is subject to large errors due to noise and multipath effects. To address this challenge, in this paper, the indoor positioning of RTT-RSS fusion is investigated by the improved ranging method. Firstly, the logarithmic attenuation model based on RSSI is improved by quadratic polynomial and the RTT is calibrated by linear model. And then the adaptive weighting method is adopted to fuse the RTT and RSS. Finally, the positions of the target nodes are obtained by the trilateral localization method. In the experimental results, the complex environment of indoor localization is simulated in the corridor and lounge respectively. And the results show that the method proposed in this paper can effectively improve the localization accuracy compared with the traditional method. © 2023 IEEE.

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