Robust Estimators for Variance-Based Device-Free Localization and Tracking
Human motion in the vicinity of a wireless link causes variations in the link Received Signal Strength (RSS). Device-Free Localization (DFL) systems, such as Variance-based Radio Tomographic Imaging (VRTI), use these RSS variations in a static wireless network to detect, locate and track people in the area of the network, even through walls. However, intrinsic motion, such as branches moving in the wind and rotating or vibrating machinery, also causes RSS variations which degrade the performance of a DFL system. In this paper, the authors propose and evaluate two estimators to reduce the impact of the variations caused by intrinsic motion.