In a new study presented at the IEEE International Conference on Communications in Glasgow, researchers from Queen Mary University of London and partners from around the world showcased the system, called Joint DAS and GNSS (JDG), which blends traditional satellite\u2011based GPS with a lesser\u2011known technology referred to as Distributed Acoustic Sensing (DAS).<\/p>\n
DAS uses existing fibre\u2011optic cables\u2014already buried beneath roads and pavements\u2014as ultra\u2011sensitive vibration sensors. When someone moves nearby, the fibres detect tiny shifts that can be translated into movement patterns.<\/p>\n
In a real\u2011world trial in southern England, the research team logged both GPS data and vibration signals from a roadside fibre\u2011optic cable as volunteers walked along the route. These combined signals were fed into a deep\u2011learning model that could continue predicting a person’s location even when GPS was blocked, noisy or only sporadically available.<\/p>\n
The collaborators combined expertise from Queen Mary in London, Xi’an Jiaotong University, Xi’an, P.R. China, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India and Chicago State University, Chicago. The results were striking: the JDG system consistently outperformed GPS\u2011only tracking and other prediction methods, remaining accurate even during complete GPS outages. It also proved resilient on lower\u2011powered devices that collect fewer location points, suggesting it could support a wide range of smartphones and IoT sensors<\/p>\n
The team says the technology could strengthen location services for smart transport, emergency response, and autonomous navigation\u2014particularly in cities and indoor or underground spaces where GPS performance is notoriously unreliable.<\/p>\n
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