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

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.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1145/3666025.3699382
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
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article

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

Nakul Garg, Nirupam Roy, Aritrik Ghosh
Indoor and Outdoor Localization Technologies
article

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

Nakul Garg, Nirupam Roy, Aritrik Ghosh
article en

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.

University of Maryland, College Park (US)
Responsible consumption and production
Openalex Percentile: Top 83%
Indoor and Outdoor Localization Technologies
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