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SpotFi: Decimeter Level Localization Using WiFi

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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Published In

cover image ACM SIGCOMM Computer Communication Review
ACM SIGCOMM Computer Communication Review  Volume 45, Issue 4
SIGCOMM'15
October 2015
659 pages
ISSN:0146-4833
DOI:10.1145/2829988
Issue’s Table of Contents
  • 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
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 August 2015
Published in SIGCOMM-CCR Volume 45, Issue 4

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Author Tags

  1. CSI
  2. OFDM
  3. indoor localization
  4. internet of things (IOT)
  5. wifi
  6. wireless

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  • (2024)HiSAC: High-Resolution Sensing with Multiband Communication SignalsProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699357(549-563)Online publication date: 4-Nov-2024
  • (2024)Understanding Localization by a Tailored GPTProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661869(318-330)Online publication date: 3-Jun-2024
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