Moez Ben Kilani

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About

Moez Ben Kilani is a researcher whose work lies at the intersection of wireless communications and signal processing, with a particular focus on indoor localization and tracking systems. His most cited paper, "RSSI-based indoor tracking using the extended Kalman filter and circularly polarized antennas" (2014, 32 citations), introduces a novel approach to improving the accuracy of indoor positioning. In this work, Ben Kilani investigates a tracking scenario where a mobile emitter moves through an indoor environment covered by multiple anchor receivers, developing a localization method that leverages received signal strength indicators (RSSI) combined with the extended Kalman filter (EKF) and circularly polarized antennas. This contribution addresses the persistent challenge of reliable indoor navigation, where GPS signals are often unavailable. By integrating advanced filtering techniques with specialized antenna design, his research offers practical solutions for applications ranging from asset tracking to smart building management. Ben Kilani's work demonstrates a thoughtful approach to real-world wireless challenges, making his findings valuable for engineers and researchers developing next-generation positioning systems.