Indoor-Location Classification Using RF Signatures

Indoor locations are classified using spatial signatures of RF signals that are obtained using a measurement grid with a spacing of approximately a wavelength. The classification method is evaluated using a publicly available dataset of detailed signal measurements in a real environment. The experimental results suggest not only that high accuracy is achievable using much simpler signatures than those in prior work but also that this accuracy is maintained as the grid is significantly coarsened.