Proceedings ArticleDOI
SpotFi: Decimeter Level Localization Using WiFi
Manikanta Kotaru,Kiran Joshi,Dinesh Bharadia,Sachin Katti +3 more
- Vol. 45, Iss: 4, pp 269-282
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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.read more
Citations
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Proceedings ArticleDOI
Wirelessly Indoor Positioning System based on RSS Signal
TL;DR: The proposed system uses fingerprinting technique and three types of intelligent classifier algorithms are used; these algorithms are KNearest Neighbor (K-NN), Multilayer Perceptron neural network (MLP), and Support Vector Machine (SVM).
Proceedings ArticleDOI
HumanFi: WiFi-Based Human Identification Using Recurrent Neural Network
TL;DR: A new passive human identification method named HumanFi based on fine-grained gait patterns captured by commercial WiFi device and long short term memory network (LSTM) to solve the effects of short-term anomalous fluctuation.
Journal ArticleDOI
Indoor Passive Localization With Channel State Information Using a Single Access Point
TL;DR: An indoor localization system with a single Access Point with a novel Channel State Information phase error correction method to eliminate the phase error that caused by the Symbol Time Offset and the Sample Frequency Offset due to the lack of rigid time synchronization between Wi-Fi transceivers.
Proceedings ArticleDOI
Position Tracking for Virtual Reality Using Commodity WiFi
Manikanta Kotaru,Sachin Katti +1 more
TL;DR: This paper describes WiCapture, a novel approach which leverages commodity WiFi infrastructure, which is ubiquitous today, for tracking purposes, and demonstrates that it achieves an accuracy of 0.88 cm compared to sophisticated infrared-based tracking systems like the Oculus Rift.
Proceedings ArticleDOI
MIMO CSI-based Super-resolution AoA Estimation for Wi-Fi Indoor Localization
Hang Tian,Liping Zhu +1 more
TL;DR: Experimental results show that the localization result of the AoA estimation method adopted in this paper is more accurate than the localization results of the Roaming Boundaries estimation method in SpotFi.
References
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