About Mohamed Saadeldin Mohamed Saadeldin Postdoctoral Research Fellow, Sensors wearable electronics IoT acoustic signal detection Digital signal processing Ultra-wideband communication Acoustic sensing and communications Movement detection and tracking using RF and acoustic waves. Indoor positioning and navigation wearables Postdoctoral Research Fellow, Sensors Lab at King Abdullah University of Science and Technology (KAUST), Assistant Professor, University College Dublin . Articles Related News July 2019 ISL Students place 4th at Microsoft Indoor Localization Competition 2017 1 min read · Mon, Jul 29 2019 News Accurate indoor positioning has the potential to transform the way people navigate indoors similar to the way the GPS transformed outdoor navigation. Over the last 20 years, many indoor positioning technologies have been proposed and experimented by both academia and industry. We developed an accurate acoustic 3D positioning system, which consists of one mobile device (MD) and four base stations (BSs) with known locations. The MD transmits a series of ultrasound and RF sequences, named Zadoff-Chu (ZC) sequences, at the same time. The propagation time of the RF signal is negligible compared to
ISL Students place 4th at Microsoft Indoor Localization Competition 2017 1 min read · Mon, Jul 29 2019 News Accurate indoor positioning has the potential to transform the way people navigate indoors similar to the way the GPS transformed outdoor navigation. Over the last 20 years, many indoor positioning technologies have been proposed and experimented by both academia and industry. We developed an accurate acoustic 3D positioning system, which consists of one mobile device (MD) and four base stations (BSs) with known locations. The MD transmits a series of ultrasound and RF sequences, named Zadoff-Chu (ZC) sequences, at the same time. The propagation time of the RF signal is negligible compared to
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