Gülmezoğlu, Berk2016-01-082016-01-082014http://hdl.handle.net/11693/15987Ankara : The Department of Electrical and Electronics Engineering and The Graduate School of Engineering and Science of Bilkent University, 2014.Thesis (Master's) -- Bilkent University, 2014.Includes bibliographical references leaves 37-41.Tracking multiple objects in indoor environments has various applications such as patient monitoring and inventory tracking. In this thesis, the use of Gaussian mixture probability hypothesis density (GM-PHD) filters is investigated for multiple person tracking via ultra-wideband (UWB) radar sensors in an indoor environment. An experimental setup consisting of a network of UWB radar sensors and a high-speed computer is designed and a new detection algorithm is proposed. The results of this experimental proof-of-concept study show that it is possible to accurately track multiple targets using a UWB radar sensor network in indoor environments based on the proposed approach.x, 41 leaves, graphics, illustrationsEnglishinfo:eu-repo/semantics/openAccessMultiple person detectiontarget trackingPHD filterultrawidebandradarpassive localizationTK6580 .G85 2014Radar targets.Tracking radar.Radar--Data processing.Thesis