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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.