Poster: Wideband Cellular Sensing for Real-time, Sustainable Geo-localization Tags

Nakul Garg, Aritrik Ghosh, Nirupam Roy

Abstract: This paper presents LiTEfoot, an ultra-low power, wide-area localization system leveraging ambient cellular signals to address the limitations of traditional self-localization systems in terms of power consumption and latency. LiTEfoot uses a non-linear transformation of the cellular synchronization signal to efficiently achieve self-localization by systematically superimposing signals at the baseband. A simple envelope detector is used to realize this non-linear transformation, enabling the identification of multiple active base stations across any cellular band. The system is designed to operate with low power, consuming only 40 μJoules of energy per localization update, achieving a median localization error of 22 meters in urban areas.