Next Article in Journal
A Comparable Study of CNN-Based Single Image Super-Resolution for Space-Based Imaging Sensors
Next Article in Special Issue
A Fusion Localization Method based on a Robust Extended Kalman Filter and Track-Quality for Wireless Sensor Networks
Previous Article in Journal
Influence of Volumetric Damage Parameters on Patch Antenna Sensor-Based Damage Detection of Metallic Structure
Previous Article in Special Issue
Wireless Indoor Localization Using Convolutional Neural Network and Gaussian Process Regression
Open AccessArticle

A Device-Free Indoor Localization Method Using CSI with Wi-Fi Signals

by Xiaochao Dang 1,2, Xuhao Tang 1, Zhanjun Hao 1,2,* and Yang Liu 1
1
College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China
2
Gansu Internet of Things Engineering Research Center, Lanzhou 730070, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(14), 3233; https://doi.org/10.3390/s19143233
Received: 17 June 2019 / Revised: 12 July 2019 / Accepted: 20 July 2019 / Published: 23 July 2019
Amid the ever-accelerated development of wireless communication technology, we have become increasingly demanding for location-based service; thus, passive indoor positioning has gained widespread attention. Channel State Information (CSI), as it can provide more detailed and fine-grained information, has been followed by researchers. Existing indoor positioning methods, however, are vulnerable to the environment and thus fail to fully reflect all the position features, due to limited accuracy of the fingerprint. As a solution, a CSI-based passive indoor positioning method was proposed, Wavelet Domain Denoising (WDD) was adopted to deal with the collected CSI amplitude, and the CSI phase information was unwound and transformed linearly in the offline phase. The post-processed amplitude and phase were taken as fingerprint data to build a fingerprint database, correlating with reference point position information. Results of experimental data analyzed under two different environments show that the present method boasts lower positioning error and higher stability than similar methods and can offer decimeter-level positioning accuracy. View Full-Text
Keywords: indoor positioning; channel state information; device-free; wireless; wavelet domain denoising indoor positioning; channel state information; device-free; wireless; wavelet domain denoising
Show Figures

Figure 1

MDPI and ACS Style

Dang, X.; Tang, X.; Hao, Z.; Liu, Y. A Device-Free Indoor Localization Method Using CSI with Wi-Fi Signals. Sensors 2019, 19, 3233.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop