Adding Angle of Arrival Modality to Basic RSS Location Management Techniques

Abstract

In this paper, we describe a radio-based localization approach that is based on the use of rotating directional antennas and a Bayesian network that combines both angle-of-arrival (AoA) and received signal strength (RSS). After describing our network, we extensively characterize the accuracy of our approach under a variety of measured signal distortion types. Next, using a combination of synthetic and trace-driven experiments, we show the impact of different signal distortions on localization performance. We found the use of directional antennas was effective at averaging out multi-path effects in indoor environments, which helped reduce the amount of training data required compared to previous approaches.