Denoising by Spatial Domain Averaging for Wireless Local Area Network Terminal Localization
Terminal localization for indoor Wireless Local Area Networks (WLANs) is critical for the deployment of location-aware computing inside of buildings. A major challenge is obtaining high localization accuracy in presence of fluctuations of the Received Signal Strength (RSS) measurements caused by multipath fading. This paper focuses on reducing the effect of the distance-varying noise by spatial filtering of the measured RSS. Two different survey point geometries are tested with the noise reduction technique survey points arranged in sets of clusters and survey points uniformly distributed over the network area.