Automatic self-reconstruction model for radio map in Wi-Fi fingerprinting

作者：

Highlights：

• Our ASR model is fingerprint robust to Wi-Fi environment dynamics.

• We propose RE-DFP, a new localization network of encoding–decoding structure.

• We propose RAD to detect anomalies in the radio map in the online phase.

• Our model is state-of-the-art research with high accuracy and seamless positioning.

摘要

•Our ASR model is fingerprint robust to Wi-Fi environment dynamics.•We propose RE-DFP, a new localization network of encoding–decoding structure.•We propose RAD to detect anomalies in the radio map in the online phase.•Our model is state-of-the-art research with high accuracy and seamless positioning.

论文关键词：RE-DFP,RAD,Indoor positioning system,Fingerprinting,Radio map

论文评审过程：Received 17 March 2021, Revised 12 December 2021, Accepted 23 December 2021, Available online 31 December 2021, Version of Record 3 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116455