AF-DCGAN: Amplitude feature deep convolutional GAN for fingerprint construction in indoor localization systems

Q Li, H Qu, Z Liu, N Zhou, W Sun… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With widely deployed WiFi network and the uniqueness feature (fingerprint) of wireless
channel information, fingerprinting based WiFi positioning is currently the mainstream indoor …

Deep convolutional neural networks for indoor localization with CSI images

X Wang, X Wang, S Mao - IEEE Transactions on Network …, 2018 - ieeexplore.ieee.org
With the increasing demand of location-based services, Wi-Fi based localization has
attracted great interest because it provides ubiquitous access in indoor environments. In this …

CapsLoc: A robust indoor localization system with WiFi fingerprinting using capsule networks

Q Ye, X Fan, G Fang, H Bie, X Song… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
With the unprecedented demand of location-based services in indoor scenarios, wireless
indoor localization is emerging as an essential application for mobile users. While the line-of …

DeFi: Robust training-free device-free wireless localization with WiFi

L Zhang, Q Gao, X Ma, J Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Many emerging applications, such as security surveillance and smart healthcare, have
incubated the device-free localization (DFL) technique, which could estimate the location of …

New insights into wifi-based device-free localization

H Aly, M Youssef - Proceedings of the 2013 ACM conference on …, 2013 - dl.acm.org
WiFi-based device-free localization is a main indoor localization technique that has attracted
much attention recently. Typically, due to the complex wireless propagation in indoor …

Unsupervised deep feature learning to reduce the collection of fingerprints for indoor localization using deep belief networks

DV Le, N Meratnia, PJM Havinga - … International conference on …, 2018 - ieeexplore.ieee.org
One of the most practical localization techniques is WLAN-based fingerprinting for location-
based services because of the availability of WLAN Access Points (APs). This technique …

Fingerprint-based device-free localization in changing environments using enhanced channel selection and logistic regression

Q Lei, H Zhang, H Sun, L Tang - Ieee Access, 2017 - ieeexplore.ieee.org
Device-free localization (DFL), which can detect and locate a person by measuring the
changes in received signals, is one of the primary techniques in wireless sensor networks …

Smartphone-based indoor fingerprinting localization using channel state information

P Chen, F Liu, S Gao, P Li, X Yang, Q Niu - IEEE Access, 2019 - ieeexplore.ieee.org
Indoor localization technology plays an important role in many indoor application scenarios.
Existing WiFi-based indoor localization methods mainly obtain channel state information …

A CNN-LSTM quantifier for single access point CSI indoor localization

MT Hoang, B Yuen, K Ren, X Dong, T Lu… - arXiv preprint arXiv …, 2020 - arxiv.org
This paper proposes a combined network structure between convolutional neural network
(CNN) and long-short term memory (LSTM) quantifier for WiFi fingerprinting indoor …

ZIL: An energy-efficient indoor localization system using ZigBee radio to detect WiFi fingerprints

J Niu, B Wang, L Shu, TQ Duong… - IEEE Journal on …, 2015 - ieeexplore.ieee.org
In existing WiFi-based localization methods, smart mobile devices consume quite a lot of
power as WiFi interfaces need to be used for frequent AP scanning during the localization …