Muloc: Multi-scale combination mask indoor localization network for WiFi based on channel state information

Abstract

With the popularization of sensor technology, researchers extract Channel State Information (CSI) from WiFi, which reflects the movement of family members by observing changes in signal transmission in residences. However, WiFi signals are still affected by multipath effects in residences. Therefore, we construct a multi-scale CSI combination mask matrix between adjacent scales based on the ternary closure. Next, we propose a competitive localization network based on aggregated affinity propagation algorithm. Experiments have been conducted to demonstrate that the proposed algorithm achieves significant improvement compared to other classical algorithms in the indoor environment.