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SpotFi: Decimeter Level Localization Using WiFi

Authors:

Manikanta Kotaru,

Dinesh Bharadia,

Sachin KattiAuthors Info & Claims

SIGCOMM '15: Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication

Pages 269 - 282

https://doi.org/10.1145/2785956.2787487

Published: 17 August 2015 Publication History

Abstract

This paper presents the design and implementation of SpotFi, an accurate indoor localization system that can be deployed on commodity WiFi infrastructure. SpotFi only uses information that is already exposed by WiFi chips and does not require any hardware or firmware changes, yet achieves the same accuracy as state-of-the-art localization systems. SpotFi makes two key technical contributions. First, SpotFi incorporates super-resolution algorithms that can accurately compute the angle of arrival (AoA) of multipath components even when the access point (AP) has only three antennas. Second, it incorporates novel filtering and estimation techniques to identify AoA of direct path between the localization target and AP by assigning values for each path depending on how likely the particular path is the direct path. Our experiments in a multipath rich indoor environment show that SpotFi achieves a median accuracy of 40 cm and is robust to indoor hindrances such as obstacles and multipath.

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Hailu TGuo XSi HLi LZhang Y(2024)Theories and Methods for Indoor Positioning Systems: A Comparative Analysis, Challenges, and Prospective MeasuresSensors10.3390/s2421687624:21(6876)Online publication date: 26-Oct-2024
https://doi.org/10.3390/s24216876
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https://doi.org/10.3390/s24206641
Mottakin KDavuluri KAllison MSong Z(2024)SWiLoc: Fusing Smartphone Sensors and WiFi CSI for Accurate Indoor LocalizationSensors10.3390/s2419632724:19(6327)Online publication date: 30-Sep-2024
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Index Terms

SpotFi: Decimeter Level Localization Using WiFi
1. Information systems
  1. Information systems applications
    1. Spatial-temporal systems
2. Networks
  1. Network services
    1. Location based services

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Published In

cover image ACM Conferences

SIGCOMM '15: Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication

August 2015

684 pages

ISBN:9781450335423

DOI:10.1145/2785956

General Chairs:
Steve Uhlig
Queen Mary University of London, UK
,
Olaf Maennel
Tallinn U. of Technology in Estonia, Estonia
,
Program Chairs:
Brad Karp
University College London, UK
,
Jitendra Padhye
Microsoft, USA

ACM SIGCOMM Computer Communication Review Volume 45, Issue 4
SIGCOMM'15
October 2015
659 pages
ISSN:0146-4833
DOI:10.1145/2829988
Editors:
Konstantina Papagiannaki
Telefonica Research, Barcelona, Spain
,
Katerina Argyraki
EPFL, Switzerland
,
Hitesh Ballani
Microsoft Research Cambridge, UK
,
Fabián Bustamante
Northwestern University, USA
,
Joseph Camp
SMU, USA
,
Augustin Chaintreau
Columbia University, USA
,
Phillipa Gill
Stony Brook University, USA
,
Marco Mellia
Politecnico di Torino, Italy
,
Bhaskaran Raman
IIT Bombay, India
,
Joel Sommers
Colgate University, USA
,
Aline Carneiro Viana
INRIA, France
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Published: 17 August 2015

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https://doi.org/10.3390/s24216876
Li CZhang CChen BXu SXu LYan B(2024)Ultrasonic Array-Based Multi-Source Fusion Indoor Positioning TechnologySensors10.3390/s2420664124:20(6641)Online publication date: 15-Oct-2024
https://doi.org/10.3390/s24206641
Mottakin KDavuluri KAllison MSong Z(2024)SWiLoc: Fusing Smartphone Sensors and WiFi CSI for Accurate Indoor LocalizationSensors10.3390/s2419632724:19(6327)Online publication date: 30-Sep-2024
https://doi.org/10.3390/s24196327
Esmaeili Gorjan HGil Jiménez V(2024)Improving Indoor WiFi Localization by Using Machine Learning TechniquesSensors10.3390/s2419629324:19(6293)Online publication date: 28-Sep-2024
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