Cleaning and Processing RSS Measurements for Location Fingerprinting

Handling variations in sampled received signal strength (RSS) is neassary for achieving robust location fingerprinting (LF). Current research has only proposed limited system-specific models for how to handle the cleaning of RSS variations. However, this paper propose a novel model for both cleaning and processing RSS measurements for LF systems. The proposed model is evaluated with a state-of-the-art LF system. The evaluation results show improved accuracy for the evaluated LF system when used with the proposed model.