Enhancing Indoor Localization through Precise Radio Map Construction and Fingerprint Interpolation in Complex and Dynamic Environments

This research develops novel methods to enhance indoor positioning systems (IPS), which are crucial for navigating inside buildings. Traditional positioning techniques often face challenges due to the unpredictable nature of indoor signals and layout changes. This research introduces new methods to improve accuracy by stabilizing signal variations, balancing data distribution in underrepresented areas such as near walls or obstructive objects, and adapting to dynamic indoor changes. Additionally, it utilizes human movement data to optimize the placement of navigation points, thus enhancing localization performance. These innovative techniques demonstrate superior performance against existing methods, marking a significant advancement in IPS technology.