On the design and analysis of antenna patterns for localization with smart devices

Summary form only given. Source localization is a well-studied topic in the area of statistical signal processing. Several pertinent application scenarios exist for this problem, mainly derived from the type of observations available at the fusion center to conduct the estimation task. This work revisits some of the approaches and algorithms proposed for localization, albeit in the context of smart devices. A distinguishing feature of smartphones and emerging monitoring platforms is the fact that each device comes equipped with an embedded global positioning system (GPS) unit and an inertial measurement unit (IMU). These devices can therefore estimate in a very precise manner their own location, and they can infer their current orientation. In certain cases, derived estimates, which act as side information, can significantly improve the performance of a source localization algorithm.