Indoor localization using multi-frequency RSS

This paper investigates the usefulness of multi-frequency received signal strength (RSS) for indoor localization. A collected set of data from four sites containing 7 frequencies from dual receivers and a high accuracy reference positioning system is presented. The collected data is also made publicly available through ResearchGate. The data is analyzed with respect to spatial variations using Gaussian processes (GP). The results show that there are more rapid signal variations across corridors than along them. The uniqueness of RSS fingerprints is analyzed suggesting that sequences of measurements in smoothing, or smoothing-like, algorithms that can handle temporary position ambiguities are likely the best choice for localization applications.