Indoor scenario-based UWB anchor placement optimization method for indoor localization

作者：

Highlights：

• An indoor scenario modeling method is proposed to obtain the NLOS measurement.

• Propose a measurement prediction model base on Gaussian process regression.

• Propose an indoor scenario-based placement optimization method.

摘要

•An indoor scenario modeling method is proposed to obtain the NLOS measurement.•Propose a measurement prediction model base on Gaussian process regression.•Propose an indoor scenario-based placement optimization method.

论文关键词：Indoor localization,Anchor placement optimization,Differential evolution algorithm,Gaussian process regression,Indoor scenario reconstruction

论文评审过程：Received 4 July 2021, Revised 6 May 2022, Accepted 31 May 2022, Available online 6 June 2022, Version of Record 13 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117723