A real-time fingerprint-based indoor positioning using deep learning and preceding states

作者：

Highlights：

• Real-time positioning by considering the limitations of smartphones.

• Extracting the RSS distribution in the offline phase.

• Leveraging previous states of users in positioning.

• Showing the robustness by extensive experiments on benchmark dataset.

摘要

•Real-time positioning by considering the limitations of smartphones.•Extracting the RSS distribution in the offline phase.•Leveraging previous states of users in positioning.•Showing the robustness by extensive experiments on benchmark dataset.

论文关键词：Fingerprint-based positioning,Wi-Fi,Smartphone,Machine learning,Deep learning

论文评审过程：Received 10 May 2022, Revised 1 September 2022, Accepted 20 September 2022, Available online 24 September 2022, Version of Record 9 October 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118889