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Proceedings ArticleDOI

SpotFi: Decimeter Level Localization Using WiFi

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TLDR
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.
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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Citations
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Proceedings ArticleDOI

2D DOA estimation method based on channel state information for uniform circular array

TL;DR: A novel method of two dimensional (2D) direction of arrival (DOA) estimation for uniform circular array (UCA) using CSI, available in transmitted OFDM signal is described.
Proceedings ArticleDOI

EyeFi: Fast Human Identification Through Vision and WiFi-based Trajectory Matching

TL;DR: EyeFi integrates a WiFi chipset to an overhead camera and fuses motion trajectories obtained from both vision and RF modalities to identify individuals and improves WiFi CSI based AoA estimation accuracy by more than 30% and offers 3,800 times computational speed over the state-of-the-art solution.
Journal ArticleDOI

WiTraj: Robust Indoor Motion Tracking With WiFi Signals

TL;DR: Wu et al. as mentioned in this paper proposed WiTraj, a device-free indoor motion tracking system using commodity WiFi devices, which leverages multiple receivers placed at different viewing angles to capture human walking and then intelligently combines the best views to achieve a robust trajectory reconstruction, and distinguishes walking from in-place activities, which are typically interleaved in daily life, so that non-walking activities do not cause tracking errors.
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P2SLAM: Bearing based WiFi SLAM for Indoor Robots

TL;DR: This paper presents WiFi as a robust and straightforward sensing modality capable of circumventing issues in highly structured environments and dynamic lighting conditions and integrates these features with odometry into a state-of-art GraphSLAM backend.
Journal ArticleDOI

Peer-to-Peer Localization for Single-Antenna Devices

TL;DR: P2PLocate is presented, a peer-to-peer localization system that enables a single-antenna device co-located with a batteryless backscatter tag to localize another single-Antenna device with decimeter-level accuracy.
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Proceedings ArticleDOI

RADAR: an in-building RF-based user location and tracking system

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